Topic · AI & LLM Engineering
Best deep learning skills, page 5
Deep learning skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Sets up and runs NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa simulators, including headless GPU rendering and inference latency profiling. | Orchestra-Research/ | 13k | — | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 194 | 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 |
| 195 | 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 |
| 196 | Creates, lists, updates and deletes Volcano Jobs and Queues in KubeSphere, with YAML templates for PyTorch, TensorFlow, MPI and batch jobs plus scheduling troubleshooting. | kubesphere/ | 17k | — | ~5.6k | Automated safety check: Pass | Unknown | 2 mo ago |
| 197 | Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX… | dotnet/ | 5.6k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | today |
| 198 | 198.Slime User Guide for using SLIME (LLM post-training framework for RL Scaling). | yzlnew/ | 149 | — | ~3.2k | Automated safety check: Pass | No licence | 3 mo ago |
| 199 | Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506. | pytorch/ | 113 | — | ~2.7k | Automated safety check: Pass | Unknown | today |
| 200 | 200.Create Problem Entry point for creating PINA problems. An agent skill from PINA-org/PINA. | PINA-org/ | 798 | — | ~1.9k | Automated safety check: Pass | MIT | 3 days ago |
| 201 | Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests. | microsoft/ | 22k | — | ~486 | Automated safety check: Pass | MIT | today |
| 202 | 202.Mlir Development Expertise in MLIR (Multi-Level Intermediate Representation) and CIR (Clang IR) development for domain-specific compilation and high-level optimizations. | aftermathlabs/ | 438 | — | ~2.4k | Automated safety check: Pass | AGPL-3.0 | 5 days ago |
| 203 | 203.Feynman Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. | neurofoo/ | 119 | — | ~561 | Automated safety check: Pass | MIT | 8 mo ago |
| 204 | Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs… | amd/ | 406 | — | ~760 | Automated safety check: Pass | MIT | today |
| 205 | 205.Llama Nnc Develop and profile the edge-e3 PyTorch-to-NNC flow, including nnc/compiler.py lowering and generated ABI, example/llama smoke models, cpp/libnn runtime operators, BF16 correctness checks, and… | exeex/ | 110 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 206 | Build production computer vision pipelines for object detection, tracking, and video analysis. | curiositech/ | 243 | — | ~4k | Automated safety check: Pass | MIT | 1 mo ago |
| 207 | Use the repo internal/ directory for anything that must not be committed — scratch files, temporary outputs, local demos, Codex artifacts, or one-off scripts. | albumentations-team/ | 567 | — | ~338 | Automated safety check: Pass | AGPL-3.0 | today |
| 208 | Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)… | awslabs/ | 915 | — | ~910 | Automated safety check: Pass | Apache-2.0 | today |
| 209 | Rigor Paper Context helper for README-first deep learning repo reproduction. | lllllllama/ | 497 | 1 repo | ~517 | Automated safety check: Pass | MIT | 16 days ago |
| 210 | Generate a PyTorch release validation checklist issue by pulling open/closed issues from a GitHub milestone and cherry-picks from a release tracker issue. | pytorch/ | 113 | — | ~2.2k | Automated safety check: Pass | Unknown | today |
| 211 | 211.Define Domains Create and manipulate domains for PINA physics-driven problems. | PINA-org/ | 798 | — | ~1.1k | Automated safety check: Pass | MIT | 3 days ago |
| 212 | 212.Histolab Extracts and preprocesses whole-slide histology image tiles with Histolab. | K-Dense-AI/ | 48k | 1 repo | ~2.2k | Automated safety check: Pass | Apache-2.0 | 4 days ago |
| 213 | Generates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement. | K-Dense-AI/ | 48k | 1 repo | ~5.1k | Automated safety check: Notes | MIT | 4 days ago |
| 214 | Deep learning framework (PyTorch Lightning / lightning package). | K-Dense-AI/ | 48k | 1 repo | ~2.6k | Automated safety check: Notes | Apache-2.0 | 4 days ago |
| 215 | 215.Geoffrey Hinton Applies the reasoning style of Geoffrey Hinton, deep learning pioneer and 2018 Turing Award winner. | K-Dense-AI/ | 282 | — | ~1.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 216 | Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). | PerforatedAI/ | 237 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 217 | 217.Gpt2 Codegolf Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints. | lazyFrogLOL/ | 128 | — | ~1.8k | Automated safety check: Pass | No licence | 4 mo ago |
| 218 | 218.Software Harness Run, extend, debug, or review the public edge-e3 bare-metal software harness, including encrypted Verilator builds, hello and tensor examples, all example/llama/model smoke cases, PyTorch BF16… | exeex/ | 110 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 219 | 219.Torch Geometric Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. | K-Dense-AI/ | 48k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 4 days ago |
| 220 | 220.ML Engineer Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps | RightNow-AI/ | 18k | — | ~987 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 221 | Update tools/scripts/generatebinarybuildmatrix.py when a PyTorch release goes live. | pytorch/ | 113 | — | ~1.7k | Automated safety check: Pass | Unknown | today |
| 222 | 222.Define Equations Define PDEs, ODEs, boundary conditions, and custom equations for PINA physics-driven problems. | PINA-org/ | 798 | — | ~1.2k | Automated safety check: Pass | MIT | 3 days ago |
| 223 | 223.Pytorch Patterns PyTorch深度学习模式与最佳实践,用于构建稳健、高效且可复现的训练流程、模型架构和数据加载. An agent skill from affaan-m/ECC. | affaan-m/ | 276k | 1 repo | ~2.6k | Automated safety check: Pass | MIT | 4 days ago |
| 224 | 224.Ian Goodfellow A skill your agent uses when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. | K-Dense-AI/ | 282 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 225 | 225.Skill Optimizer SkillOpt-flavored offline training loop for any SKILL.md. An agent skill from rohitg00/pro-workflow. | rohitg00/ | 2.9k | — | ~1.3k | Automated safety check: Pass | No licence | 10 days ago |
| 226 | 226.Benchmark Measure AlbumentationsX runtime changes with paired baseline and candidate benchmarks on the affected routes. | albumentations-team/ | 567 | — | ~900 | Automated safety check: Pass | AGPL-3.0 | today |
| 227 | Agent skill for neural-network - invoke with $agent-neural-network | ruvnet/ | 74k | 2 repos | ~965 | Automated safety check: Pass | MIT | today |
| 228 | Guidance for implementing batching schedulers for LLM inference systems with compilation-based accelerators. | lazyFrogLOL/ | 128 | — | ~2.2k | Automated safety check: Pass | No licence | 4 mo ago |
| 229 | Search, find, discover, install, remove, update, review, deduplicate, list, move, optimise, and iterate on skills for AI coding agents. | CodeAlive-AI/ | 158 | — | ~6.2k | Automated safety check: Pass | MIT | yesterday |
| 230 | 230.Kernel Benchmark Unified kernel benchmarking protocol producing JSON results with latency, TFLOPS, GBps, and comparison against PyTorch baselines. | ZJLi2013/ | 102 | — | ~567 | Automated safety check: Pass | No licence | 6 mo ago |
| 231 | Run a bounded TileLang implementation and optimization task from a PyTorch reference or existing kernel through baseline analysis, a written plan, candidate edits, lowering inspection, validation… | sablin39/ | 145 | — | ~2.7k | Automated safety check: Pass | No licence | 24 days ago |
| 232 | 232.Geoffrey Hinton Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks. | sickn33/ | 47k | 2 repos | ~453 | Automated safety check: Pass | MIT | today |
| 233 | 233.Profile Training Profile a named JAX, Levanter, or Marin run, or investigate a measured startup, compilation, initialization, or throughput bottleneck. | marin-community/ | 3.9k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 234 | Pin (or re-pin) the Linux manywheel builder docker images used by the nightly/release binary build workflows in pytorch/pytorch to a fixed .ci/docker build. | pytorch/ | 113 | — | ~2.1k | Automated safety check: Pass | Unknown | today |
| 235 | 235.Ilya Sutskever Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and… | K-Dense-AI/ | 282 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 236 | A skill your agent uses when the user wants to confirm whether an existing CUDA extension/binary can run on B200, configure compute100/sm100 or the architecture-specific sm100a, or check PTX/cubin… | mirage-project/ | 2.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 237 | 237.Review Transform Review an AlbumentationsX transform for correctness, public API coherence, performance, documentation, and test coverage. | albumentations-team/ | 567 | — | ~973 | Automated safety check: Pass | AGPL-3.0 | today |
| 238 | Multi-GPU and distributed training patterns with PyTorch DDP. | aiming-lab/ | 15k | — | ~216 | Automated safety check: Pass | MIT | 1 mo ago |
| 239 | 239.Pytorch Training Best practices for building robust PyTorch training loops. An agent skill from aiming-lab/AutoResearchClaw. | aiming-lab/ | 15k | — | ~391 | Automated safety check: Pass | MIT | 1 mo ago |
| 240 | Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), read free at deeplearningbook.org. | alirezarezvani/ | 28k | — | ~2.9k | Automated safety check: Pass | MIT | 1 mo ago |
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