#636 by GitHub stars

PrathamLearnsToCode/paper2code

Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not

Research

History

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1.5kGitHub stars

-1star in 7 days

1skill in this repository

0commits in 30 days

Heat

0.8

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Star growth, last 24 hoursAhead of 1% of tracked repositories
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Individual skills in this repository

paper2code skills/paper2code

How it works

paper2code

When your agent uses it

Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.

What it loads into context

Frontmatter

75 tokens

Always available to the agent

SKILL.md

1,257 tokens

When the skill is activated

Reference documents

36,074 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Parse arguments
Set up working directory
Install dependencies
Execute pipeline
Cleanup
Final output
Mode-specific behavior
Guardrails — always active
Knowledge base — consult as needed

Scripts executed separately

scaffolds/data_template.py
scaffolds/evaluate_template.py
scaffolds/loss_template.py
scaffolds/model_template.py
scaffolds/train_template.py
scripts/extract_structure.py
scripts/fetch_paper.py
worked/attention_is_all_you_need/notebooks/walkthrough.ipynb
worked/attention_is_all_you_need/src/data.py
worked/attention_is_all_you_need/src/evaluate.py
worked/attention_is_all_you_need/src/loss.py
worked/attention_is_all_you_need/src/model.py
worked/attention_is_all_you_need/src/train.py
worked/attention_is_all_you_need/src/utils.py
worked/ddpm/notebooks/walkthrough.ipynb
worked/ddpm/src/data.py
worked/ddpm/src/evaluate.py
worked/ddpm/src/loss.py
worked/ddpm/src/model.py
worked/ddpm/src/train.py
worked/ddpm/src/utils.py

Files

SKILL.mdcore5,341 bytes
SKILL.mdcore5,341 bytes
SKILL.mdcore5,341 bytes
SKILL.mdcore5,341 bytes
guardrails/badly_written_papers.mddoc9,054 bytes
guardrails/hallucination_prevention.mddoc8,309 bytes
guardrails/scope_enforcement.mddoc8,064 bytes
knowledge/loss_functions.mddoc10,023 bytes
knowledge/paper_to_code_mistakes.mddoc10,569 bytes
knowledge/training_recipes.mddoc9,304 bytes
knowledge/transformer_components.mddoc14,296 bytes
pipeline/01_paper_acquisition.mddoc7,123 bytes
pipeline/02_contribution_identification.mddoc8,621 bytes
pipeline/03_ambiguity_audit.mddoc10,763 bytes
pipeline/04_code_generation.mddoc11,415 bytes
pipeline/05_walkthrough_notebook.mddoc6,962 bytes
scaffolds/config_template.yamlasset2,690 bytes
scaffolds/data_template.pyruns3,263 bytes
scaffolds/evaluate_template.pyruns1,736 bytes
scaffolds/loss_template.pyruns1,431 bytes
scaffolds/model_template.pyruns4,236 bytes
scaffolds/readme_template.mddoc1,798 bytes
scaffolds/reproduction_notes_template.mddoc3,595 bytes
scaffolds/train_template.pyruns5,795 bytes
scripts/extract_structure.pyruns11,222 bytes
scripts/fetch_paper.pyruns15,812 bytes
worked/attention_is_all_you_need/README.mddoc2,662 bytes
worked/attention_is_all_you_need/REPRODUCTION_NOTES.mddoc6,015 bytes
worked/attention_is_all_you_need/configs/base.yamlasset3,490 bytes
worked/attention_is_all_you_need/notebooks/walkthrough.ipynbruns27,573 bytes
worked/attention_is_all_you_need/requirements.txtdoc39 bytes
worked/attention_is_all_you_need/review.mddoc5,238 bytes
worked/attention_is_all_you_need/src/data.pyruns6,089 bytes
worked/attention_is_all_you_need/src/evaluate.pyruns2,214 bytes
worked/attention_is_all_you_need/src/loss.pyruns2,983 bytes
worked/attention_is_all_you_need/src/model.pyruns23,099 bytes
worked/attention_is_all_you_need/src/train.pyruns3,449 bytes
worked/attention_is_all_you_need/src/utils.pyruns3,125 bytes
worked/ddpm/README.mddoc2,845 bytes
worked/ddpm/REPRODUCTION_NOTES.mddoc6,241 bytes
worked/ddpm/configs/base.yamlasset3,936 bytes
worked/ddpm/notebooks/walkthrough.ipynbruns13,987 bytes
worked/ddpm/requirements.txtdoc39 bytes
worked/ddpm/review.mddoc4,515 bytes
worked/ddpm/src/data.pyruns3,246 bytes
worked/ddpm/src/evaluate.pyruns8,148 bytes
worked/ddpm/src/loss.pyruns1,921 bytes
worked/ddpm/src/model.pyruns14,869 bytes
worked/ddpm/src/train.pyruns6,634 bytes
worked/ddpm/src/utils.pyruns8,171 bytes

Read SKILL.md


# paper2code — Orchestration

You are executing the paper2code skill. This file governs the high-level flow. Each stage dispatches to a detailed reasoning protocol in `pipeline/`. Do NOT skip stages. Do NOT combine stages. Execute them in order.

## Parse arguments

Extract from the user's input:
- `ARXIV_ID`: the arxiv paper ID (e.g., `2106.09685`). Strip any URL prefix.
- `MODE`: one of `minimal` (default), `full`, `educational`.
- `FRAMEWORK`: one of `pytorch` (default), `jax`, `numpy`.

If the user provided a full URL like `https://arxiv.org/abs/2106.09685`, extract the ID `2106.09685`.
If the user provided a versioned ID like `2106.09685v2`, keep the version.

View the complete source on GitHub

Skills included

paper2code

Repository facts

License: MIT
Created: Apr 3, 2026
Last pushed: Apr 3, 2026
Forks: 181
Open issues: 1
Project activity: Slowing

Rank over the last 12 weeks

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Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 3, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes

skills/paper2code/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/paper2code/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/paper2code/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
No dangerous shell commands
90 network referencesin 32 files: paper2code/scripts/fetch_paper.py:8 paper2code/pipeline/01_paper_acquisition.md:33 paper2code/worked/attention_is_all_you_need/src/data.py:4 and 29 more
No hidden or obfuscated text
No instruction overrides
21 executable scriptsin 21 files: paper2code/scaffolds/data_template.py:1 paper2code/scaffolds/evaluate_template.py:1 paper2code/scaffolds/loss_template.py:1 and 18 more
No access to secrets
No requests to vote in Hot

Show all 111 signals by file

`skills/paper2code/SKILL.md`

Network accessline 17

If the user provided a full URL like `https://arxiv.org/abs/2106.09685`, extract the ID `2106.09685`.

`skills/paper2code/pipeline/01_paper_acquisition.md`

Network accessline 33

Run `scripts/fetch_paper.py`. The script handles: 1. Downloading from `https://arxiv.org/pdf/{id}.pdf`

Network accessline 34

1. Downloading from `https://arxiv.org/pdf/{id}.pdf`

Network accessline 35

2. Extraction via `pymupdf4llm` (preferred — preserves math notation as LaTeX) 3. Fallback to `pdfplumber` if pymupdf4llm fails 4. Fallback to HTML from `https://ar5iv.labs.arxiv.org/html/{id}` if PDF extraction produces garbled output

Network accessline 37

4. Fallback to HTML from `https://ar5iv.labs.arxiv.org/html/{id}` if PDF extraction produces garbled output

Network accessline 123

### If PDF download fails (403, 404, network error): 1. Try the ar5iv HTML version: `https://ar5iv.labs.arxiv.org/html/{id}`

Network accessline 124

1. Try the ar5iv HTML version: `https://ar5iv.labs.arxiv.org/html/{id}` 2. If that also fails, try the abstract page: `https://arxiv.org/abs/{id}` to verify the paper exists 3. If the paper exists but can't be fetched, ask the user to downl

Network accessline 125

2. If that also fails, try the abstract page: `https://arxiv.org/abs/{id}` to verify the paper exists

`skills/paper2code/scaffolds/config_template.yaml`

Network accessline 1

# Configuration for {{PAPER_TITLE}} # Paper: https://arxiv.org/abs/{{ARXIV_ID}}

Network accessline 2

# Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/data_template.py`

Executable scriptline 1
```
Executable file
```

Network accessline 4

Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/evaluate_template.py`

Executable scriptline 1
```
Executable file
```

Network accessline 4

Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/loss_template.py`

Executable scriptline 1
```
Executable file
```

Network accessline 4

Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/model_template.py`

Executable scriptline 1
```
Executable file
```

Network accessline 4

Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/readme_template.md`

Network accessline 3

Implementation of [{{PAPER_TITLE}}](https://arxiv.org/abs/{{ARXIV_ID}}) ({{AUTHORS}}, {{YEAR}}).

Network accessline 62

*Generated by [paper2code](https://github.com/PrathamLearnsToCode/paper2code) — citation-anchored paper implementation.*

`skills/paper2code/scaffolds/reproduction_notes_template.md`

Network accessline 11

- **Authors:** {{AUTHORS}} - **Year:** {{YEAR}} - **ArXiv:** https://arxiv.org/abs/{{ARXIV_ID}}

Network accessline 12

- **Year:** {{YEAR}} - **ArXiv:** https://arxiv.org/abs/{{ARXIV_ID}} - **Official code:** {{OFFICIAL_CODE_URL or "None found"}}

Network accessline 13

- **ArXiv:** https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scaffolds/train_template.py`

Executable scriptline 1
```
Executable file
```

Network accessline 4

Paper: https://arxiv.org/abs/{{ARXIV_ID}}

`skills/paper2code/scripts/extract_structure.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`skills/paper2code/scripts/fetch_paper.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 8

Examples:     python fetch_paper.py 2106.09685 ./output/     python fetch_paper.py https://arxiv.org/abs/2106.09685 ./output/

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python fetch_paper.py 2106.09685 ./output/     python fetch_paper.py https://arxiv.org/abs/2106.09685 ./output/     python fetch_paper.py 2106.09685v2 ./output/

Network accessline 10

python fetch_paper.py https://arxiv.org/abs/2106.09685 ./output/

Network accessline 29

Handles:         https://arxiv.org/abs/2106.09685

Network accessline 30
```
https://arxiv.org/abs/2106.09685
```
Network accessline 31
```
https://arxiv.org/pdf/2106.09685.pdf
```
Network accessline 32
```
http://arxiv.org/abs/2106.09685v2
```

Network accessline 40

for prefix in [         "https://arxiv.org/abs/",

Network accessline 41
```
"https://arxiv.org/abs/",
```
Network accessline 42
```
"http://arxiv.org/abs/",
```
Network accessline 43
```
"https://arxiv.org/pdf/",
```
Network accessline 44
```
"http://arxiv.org/pdf/",
```

Network accessline 67

base_id = re.sub(r"v\d+$", "", arxiv_id)     api_url = f"http://export.arxiv.org/api/query?id_list={base_id}"

Network accessline 68

api_url = f"http://export.arxiv.org/api/query?id_list={base_id}"

Network accessline 70

try:         resp = requests.get(api_url, timeout=30)

Network accessline 71

resp = requests.get(api_url, timeout=30)

Network accessline 124

pdf_url = f"https://arxiv.org/pdf/{arxiv_id}.pdf"

Network accessline 127

try:         resp = requests.get(pdf_url, timeout=60, stream=True)

Network accessline 128

resp = requests.get(pdf_url, timeout=60, stream=True)

Network accessline 190

base_id = re.sub(r"v\d+$", "", arxiv_id)     html_url = f"https://ar5iv.labs.arxiv.org/html/{base_id}"

Network accessline 191

html_url = f"https://ar5iv.labs.arxiv.org/html/{base_id}"

Network accessline 194

try:         resp = requests.get(html_url, timeout=60)

Network accessline 195

resp = requests.get(html_url, timeout=60)

Network accessline 317

base_id = re.sub(r"v\d+$", "", arxiv_id)     abs_url = f"https://arxiv.org/abs/{base_id}"

Network accessline 318

abs_url = f"https://arxiv.org/abs/{base_id}"     try:         resp = requests.get(abs_url, timeout=30)

Network accessline 319

try:         resp = requests.get(abs_url, timeout=30)         resp.raise_for_status()

Network accessline 320

resp = requests.get(abs_url, timeout=30)

Network accessline 398

f.write(f"# {metadata['title']}\n\n")         f.write(f"**Authors:** {', '.join(metadata['authors'])}\n\n")         f.write(f"**ArXiv:** https://arxiv.org/abs/{arxiv_id}\n\n")

Network accessline 399

f.write(f"**Authors:** {', '.join(metadata['authors'])}\n\n")         f.write(f"**ArXiv:** https://arxiv.org/abs/{arxiv_id}\n\n")         f.write("---\n\n")

Network accessline 400

f.write(f"**ArXiv:** https://arxiv.org/abs/{arxiv_id}\n\n")

`skills/paper2code/worked/attention_is_all_you_need/README.md`

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Implementation of [Attention Is All You Need](https://arxiv.org/abs/1706.03762) (Vaswani et al., 2017).

Network accessline 69

*Generated by [paper2code](https://github.com/PrathamLearnsToCode/paper2code) — citation-anchored paper implementation.*

`skills/paper2code/worked/attention_is_all_you_need/REPRODUCTION_NOTES.md`

Network accessline 11

- **Authors:** Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia Polosukhin - **Year:** 2017 - **ArXiv:** https://arxiv.org/abs/1706.03762

Network accessline 12

- **Year:** 2017 - **ArXiv:** https://arxiv.org/abs/1706.03762 - **Official code:** https://github.com/tensorflow/tensor2tensor

Network accessline 13

- **ArXiv:** https://arxiv.org/abs/1706.03762

Network accessline 14

- **Official code:** https://github.com/tensorflow/tensor2tensor

`skills/paper2code/worked/attention_is_all_you_need/configs/base.yaml`

Network accessline 1

# Configuration for Attention Is All You Need (Vaswani et al., 2017) # Paper: https://arxiv.org/abs/1706.03762

Network accessline 2

# Paper: https://arxiv.org/abs/1706.03762

`skills/paper2code/worked/attention_is_all_you_need/notebooks/walkthrough.ipynb`

Executable scriptline 1
```
Executable file
```

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"# Attention Is All You Need — Walkthrough\n",     "\n",     "**Paper:** [Attention Is All You Need](https://arxiv.org/abs/1706.03762) (Vaswani et al., 2017)\n",

Network accessline 9

"\n",     "**Paper:** [Attention Is All You Need](https://arxiv.org/abs/1706.03762) (Vaswani et al., 2017)\n",     "\n",

Network accessline 10

"**Paper:** [Attention Is All You Need](https://arxiv.org/abs/1706.03762) (Vaswani et al., 2017)\n",

`skills/paper2code/worked/attention_is_all_you_need/review.md`

Network accessline 3

**Paper:** Attention Is All You Need (Vaswani et al., 2017) **Command:** `/paper2code https://arxiv.org/abs/1706.03762`

Network accessline 4

**Command:** `/paper2code https://arxiv.org/abs/1706.03762`

`skills/paper2code/worked/attention_is_all_you_need/src/data.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

Network accessline 13

NOTE: This file provides the Dataset class skeleton. You must:   1. Download WMT 2014 EN-DE from http://www.statmt.org/wmt14/translation-task.html

Network accessline 14

1. Download WMT 2014 EN-DE from http://www.statmt.org/wmt14/translation-task.html

Network accessline 43

How to obtain:         1. Download WMT 2014 EN-DE data from http://www.statmt.org/wmt14/

Network accessline 44

1. Download WMT 2014 EN-DE data from http://www.statmt.org/wmt14/

`skills/paper2code/worked/attention_is_all_you_need/src/evaluate.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

`skills/paper2code/worked/attention_is_all_you_need/src/loss.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

`skills/paper2code/worked/attention_is_all_you_need/src/model.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

`skills/paper2code/worked/attention_is_all_you_need/src/train.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

`skills/paper2code/worked/attention_is_all_you_need/src/utils.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/1706.03762
```

`skills/paper2code/worked/ddpm/README.md`

Network accessline 3

Implementation of [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239) (Ho, Jain, Abbeel, 2020).

Network accessline 73

*Generated by [paper2code](https://github.com/PrathamLearnsToCode/paper2code) — citation-anchored paper implementation.*

`skills/paper2code/worked/ddpm/REPRODUCTION_NOTES.md`

Network accessline 11

- **Authors:** Jonathan Ho, Ajay Jain, Pieter Abbeel - **Year:** 2020 - **ArXiv:** https://arxiv.org/abs/2006.11239

Network accessline 12

- **Year:** 2020 - **ArXiv:** https://arxiv.org/abs/2006.11239 - **Official code:** https://github.com/hojonathanho/diffusion

Network accessline 13

- **ArXiv:** https://arxiv.org/abs/2006.11239

Network accessline 14

- **Official code:** https://github.com/hojonathanho/diffusion

`skills/paper2code/worked/ddpm/configs/base.yaml`

Network accessline 1

# Configuration for Denoising Diffusion Probabilistic Models (Ho et al., 2020) # Paper: https://arxiv.org/abs/2006.11239

Network accessline 2

# Paper: https://arxiv.org/abs/2006.11239

`skills/paper2code/worked/ddpm/notebooks/walkthrough.ipynb`

Executable scriptline 1
```
Executable file
```

Network accessline 8

"# Denoising Diffusion Probabilistic Models — Code Walkthrough\n",     "\n",     "**Paper**: Ho, Jain, Abbeel (2020) — [arXiv:2006.11239](https://arxiv.org/abs/2006.11239)\n",

Network accessline 9

"\n",     "**Paper**: Ho, Jain, Abbeel (2020) — [arXiv:2006.11239](https://arxiv.org/abs/2006.11239)\n",     "\n",

Network accessline 10

"**Paper**: Ho, Jain, Abbeel (2020) — [arXiv:2006.11239](https://arxiv.org/abs/2006.11239)\n",

`skills/paper2code/worked/ddpm/src/data.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

`skills/paper2code/worked/ddpm/src/evaluate.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

`skills/paper2code/worked/ddpm/src/loss.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

`skills/paper2code/worked/ddpm/src/model.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

`skills/paper2code/worked/ddpm/src/train.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

`skills/paper2code/worked/ddpm/src/utils.py`

Executable scriptline 1
```
Executable file
```
Network accessline 4
```
Paper: https://arxiv.org/abs/2006.11239
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

No combined signals at this commit.

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md skills/paper2code/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

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PrathamLearnsToCode/paper2code

History

skills/paper2code/SKILL.md

Share this page

Heat

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Individual skills in this repository

How it works

paper2code

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Rank over the last 12 weeks

Before you install

skills/paper2code/SKILL.md

skills/paper2code/pipeline/01_paper_acquisition.md

skills/paper2code/scaffolds/config_template.yaml

skills/paper2code/scaffolds/data_template.py

skills/paper2code/scaffolds/evaluate_template.py

skills/paper2code/scaffolds/loss_template.py

skills/paper2code/scaffolds/model_template.py

skills/paper2code/scaffolds/readme_template.md

skills/paper2code/scaffolds/reproduction_notes_template.md

skills/paper2code/scaffolds/train_template.py

skills/paper2code/scripts/extract_structure.py

skills/paper2code/scripts/fetch_paper.py

skills/paper2code/worked/attention_is_all_you_need/README.md

skills/paper2code/worked/attention_is_all_you_need/REPRODUCTION_NOTES.md

skills/paper2code/worked/attention_is_all_you_need/configs/base.yaml

skills/paper2code/worked/attention_is_all_you_need/notebooks/walkthrough.ipynb

skills/paper2code/worked/attention_is_all_you_need/review.md

skills/paper2code/worked/attention_is_all_you_need/src/data.py

skills/paper2code/worked/attention_is_all_you_need/src/evaluate.py

skills/paper2code/worked/attention_is_all_you_need/src/loss.py

skills/paper2code/worked/attention_is_all_you_need/src/model.py

skills/paper2code/worked/attention_is_all_you_need/src/train.py

skills/paper2code/worked/attention_is_all_you_need/src/utils.py

skills/paper2code/worked/ddpm/README.md

skills/paper2code/worked/ddpm/REPRODUCTION_NOTES.md

skills/paper2code/worked/ddpm/configs/base.yaml

skills/paper2code/worked/ddpm/notebooks/walkthrough.ipynb

skills/paper2code/worked/ddpm/src/data.py

skills/paper2code/worked/ddpm/src/evaluate.py

skills/paper2code/worked/ddpm/src/loss.py

skills/paper2code/worked/ddpm/src/model.py

skills/paper2code/worked/ddpm/src/train.py

skills/paper2code/worked/ddpm/src/utils.py

How the signals fit together

Works with

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Explore alternatives and comparisons

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`skills/paper2code/SKILL.md`

`skills/paper2code/SKILL.md`

`skills/paper2code/pipeline/01_paper_acquisition.md`

`skills/paper2code/scaffolds/config_template.yaml`

`skills/paper2code/scaffolds/data_template.py`

`skills/paper2code/scaffolds/evaluate_template.py`

`skills/paper2code/scaffolds/loss_template.py`

`skills/paper2code/scaffolds/model_template.py`

`skills/paper2code/scaffolds/readme_template.md`

`skills/paper2code/scaffolds/reproduction_notes_template.md`

`skills/paper2code/scaffolds/train_template.py`

`skills/paper2code/scripts/extract_structure.py`

`skills/paper2code/scripts/fetch_paper.py`

`skills/paper2code/worked/attention_is_all_you_need/README.md`

`skills/paper2code/worked/attention_is_all_you_need/REPRODUCTION_NOTES.md`

`skills/paper2code/worked/attention_is_all_you_need/configs/base.yaml`

`skills/paper2code/worked/attention_is_all_you_need/notebooks/walkthrough.ipynb`

`skills/paper2code/worked/attention_is_all_you_need/review.md`

`skills/paper2code/worked/attention_is_all_you_need/src/data.py`

`skills/paper2code/worked/attention_is_all_you_need/src/evaluate.py`

`skills/paper2code/worked/attention_is_all_you_need/src/loss.py`

`skills/paper2code/worked/attention_is_all_you_need/src/model.py`

`skills/paper2code/worked/attention_is_all_you_need/src/train.py`

`skills/paper2code/worked/attention_is_all_you_need/src/utils.py`

`skills/paper2code/worked/ddpm/README.md`

`skills/paper2code/worked/ddpm/REPRODUCTION_NOTES.md`

`skills/paper2code/worked/ddpm/configs/base.yaml`

`skills/paper2code/worked/ddpm/notebooks/walkthrough.ipynb`

`skills/paper2code/worked/ddpm/src/data.py`

`skills/paper2code/worked/ddpm/src/evaluate.py`

`skills/paper2code/worked/ddpm/src/loss.py`

`skills/paper2code/worked/ddpm/src/model.py`

`skills/paper2code/worked/ddpm/src/train.py`

`skills/paper2code/worked/ddpm/src/utils.py`