Search
PyTorch · Fine-tuning
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Fine-tune or transfer-learn AlphaGenome-PyTorch on custom genomic data — pick a mode (linear probe, LoRA, Locon, full), train on BigWig tracks with agt finetune, use adapters, delta checkpoints… | genomicsxai/ | 162 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 26 days ago |
| 2 | Produces ranked, evidence-grounded next steps when an ML experiment has stalled, drawing on a Leeroopedia knowledge base or on fetched docs and issues. | Leeroo-AI/ | 195 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 3 | Checks training code, configs and math against documented framework behavior before an expensive run, citing a knowledge base or official docs for every claim. | Leeroo-AI/ | 195 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 4 | Half-Quadratic Quantization for LLMs without calibration data. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | Walks through nanoGPT, Karpathy's compact GPT implementation: training on Shakespeare, reproducing GPT-2, fine-tuning GPT-2 checkpoints and training on your own text. | Orchestra-Research/ | 13k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | PyTorch training reference: architecture choice by data type, scaling rules, a training loop, optimizer and learning-rate choices, and fixes for loss spikes or OOM. | Orchestra-Research/ | 13k | 1 repo | ~2.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | Fine-tunes and evaluates OpenVLA-OFT and OFT+ robot policies with LoRA and continuous action heads on LIBERO simulation and ALOHA real-robot setups. | Orchestra-Research/ | 13k | — | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Fine-tunes and serves Physical Intelligence's pi0, pi0-fast and pi0.5 robot policies with JAX or PyTorch, including checkpoint conversion and policy servers. | Orchestra-Research/ | 13k | — | ~3.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 10 | A skill your agent uses when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or fine-tuning a pretrained… | Aperivue/ | 333 | — | ~3.1k | Automated safety check: Pass | MIT | 6 days ago |
| 11 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 12 | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 13 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 14 | Fine-tune a DPA3 model in DeePMD-kit using the PyTorch backend. | jinzhezenggroup/ | 148 | — | ~3.1k | Automated safety check: Pass | LGPL-3.0-or-later | 2 days ago |
| 15 | Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM… | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 16 | Run distributed GPU training jobs on CoreWeave with multi-node PyTorch. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 17 | PyTorch Lightning framework for scalable model training and research | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 18 | 18.Discover ML Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. | rand/ | 181 | — | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 19 | A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO… | ericrisco/ | 180 | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |