YuvrajSingh-mist / Paper-Replications-and-Experiments
From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE, plus SFT/GRPO post-training experiments.
Why this job: says: lora; topics: fine-tuning
What it does
I build models from the papers, then train them. Every folder here is code I wrote and ran rather than a fork of someone else's, so the notes next to it record what actually happened: hyperparameters, datasets, final losses, and the parts where my numbers disagree with the paper's.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 429
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released 6 days ago
- Built with
- Jupyter Notebook
- 85% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 15 merged
- 0 waiting
- Releases
- 2
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| labmlai / annotated_deep_learning_paper_implementations | 67,729 | 7 days ago | MIT | No downloads |
| Enping-Hu / minimind-deep-dive | 217 | 19 days ago | CC-BY-4.0 | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 85%
- Python 14%
- Shell <1%
Topics
- attention-mechanism
- computer-vision
- deep-learning
- diffusion-models
- fine-tuning
- from-scratch
- gans
- grpo
- jupyter-notebook
- llm
- machine-learning
- model-implementation
Project record
- JobFine-tuning
- StatusListed
- Commits379
- Forks43
- Watching9
- Stars in 28 days+1
- CreatedJun 14, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026