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By Orchestra-Research
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Generates music from text descriptions with MusicGen and sound effects with AudioGen, using Meta's AudioCraft PyTorch library with melody and style conditioning. | Orchestra-Research/ | 13k | 8 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints. | Orchestra-Research/ | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation. | Orchestra-Research/ | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects. | Orchestra-Research/ | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns. | Orchestra-Research/ | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 6 | Transcribes audio with OpenAI's Whisper: 99 languages, translation to English, language detection, six model sizes and word-level timestamps, from Python or the CLI. | Orchestra-Research/ | 13k | 7 repos | ~1.9k | Automated safety check: Notes | MIT | 3 mo ago |
| 7 | Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes. | Orchestra-Research/ | 13k | 6 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. | Orchestra-Research/ | 13k | 6 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking. | Orchestra-Research/ | 13k | 6 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | Guide to LLaVA for image chat, visual question answering and captioning, with model sizes, CLI and Gradio usage and multi-turn conversation code. | Orchestra-Research/ | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 11 | Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. | Orchestra-Research/ | 13k | 6 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling. | Orchestra-Research/ | 13k | 6 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | Orchestra-Research/ | 13k | 10 repos | ~577 | Automated safety check: Pass | MIT | 3 mo ago |
| 14 | Teaches an agent to build LM pipelines, RAG systems and agents in DSPy using signatures, modules and optimizers instead of hand-tuned prompts. | Orchestra-Research/ | 13k | 9 repos | ~3.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 15 | Guides an agent through tracking ML experiments with W&B: run logging, config capture, hyperparameter sweeps, artifacts and a model registry. | Orchestra-Research/ | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | Uses the Outlines library to constrain model output to a JSON schema, Pydantic model, regex or fixed set of choices when running local models. | Orchestra-Research/ | 13k | 9 repos | ~4k | Automated safety check: Pass | MIT | 3 mo ago |
| 17 | Quick-reference help for fine-tuning language models with Axolotl, covering YAML configs, FSDP, context parallelism, compressed saves and dataset formats. | Orchestra-Research/ | 13k | 8 repos | ~1.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 18 | Guides training and analyzing sparse autoencoders with SAELens to break neural network activations into interpretable features, including superposition and monosemanticity studies. | Orchestra-Research/ | 13k | 5 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 19 | Serverless GPU cloud platform for running ML workloads. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 20 | Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces. | Orchestra-Research/ | 13k | 5 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 21 | Deploys LLMs with vLLM for high-throughput serving, covering the OpenAI-compatible server, offline batch inference, monitoring and a Docker rollout. | Orchestra-Research/ | 13k | 5 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 22 | Generates and edits images with Stable Diffusion through Hugging Face Diffusers, covering text-to-image, image-to-image, inpainting, SDXL and custom pipelines. | Orchestra-Research/ | 13k | 5 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 23 | Benchmarks code generation models with the BigCode Evaluation Harness across HumanEval, MBPP, MultiPL-E and other suites using pass@k metrics. | Orchestra-Research/ | 13k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 24 | Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost. | Orchestra-Research/ | 13k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 25 | Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). | Orchestra-Research/ | 13k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 26 | 26.Nemo Curator GPU-accelerated data curation for LLM training. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 4 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 27 | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. | Orchestra-Research/ | 13k | 4 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 28 | Explains how to run Qdrant, a Rust vector database, for RAG and semantic search, covering collections, points, distance metrics and filtered or batched queries. | Orchestra-Research/ | 13k | 4 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 29 | Walks through aligning language models with SimPO, a reference-free preference optimization method, using accelerate configs for Mistral 7B, Llama 3 8B and math-focused models. | Orchestra-Research/ | 13k | 4 repos | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 30 | Guides reinforcement-learning post-training of LLMs with slime, which pairs Megatron-LM training with SGLang rollouts, including GRPO runs on GLM, Qwen3 and Llama 3 models. | Orchestra-Research/ | 13k | 4 repos | ~2.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 31 | Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command. | Orchestra-Research/ | 13k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 32 | Shows how to pull validated, typed data out of LLM responses with Instructor and Pydantic models, including retries on failure and partial streaming. | Orchestra-Research/ | 13k | 6 repos | ~4.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 33 | Constrains language model output with regex, selections and grammars using the Guidance library, so JSON, XML, code or formatted fields come out valid. | Orchestra-Research/ | 13k | 5 repos | ~3.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 34 | Adds distributed and mixed-precision training to a PyTorch script with a few Accelerate lines, then launches it on one GPU, many GPUs or DeepSpeed and FSDP setups. | Orchestra-Research/ | 13k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 35 | Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis. | Orchestra-Research/ | 13k | 3 repos | ~3k | Automated safety check: Pass | MIT | 3 mo ago |
| 36 | GGUF format and llama.cpp quantization for efficient CPU/GPU inference. | Orchestra-Research/ | 13k | 3 repos | ~2.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 37 | 37.Llama Cpp Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. | Orchestra-Research/ | 13k | 3 repos | ~1.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 38 | Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps. | Orchestra-Research/ | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 39 | Autonomous AI agent platform for building and deploying continuous agents. | Orchestra-Research/ | 13k | 2 repos | ~2.3k | Automated safety check: Notes | MIT | 3 mo ago |
| 40 | Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. | Orchestra-Research/ | 13k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 41 | Vision-language pre-training framework bridging frozen image encoders and LLMs. | Orchestra-Research/ | 13k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 42 | Multi-agent orchestration framework for autonomous AI collaboration. | Orchestra-Research/ | 13k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 43 | 43.Gptq Post-training 4-bit quantization for LLMs with minimal accuracy loss. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 44 | Half-Quadratic Quantization for LLMs without calibration data. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 45 | Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). | Orchestra-Research/ | 13k | 2 repos | ~2.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 46 | Compress large language models using knowledge distillation from teacher to student models. | Orchestra-Research/ | 13k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 47 | 47.Langchain Framework for building LLM-powered applications with agents, chains, and RAG. | Orchestra-Research/ | 13k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 48 | LLM observability platform for tracing, evaluation, and monitoring. | Orchestra-Research/ | 13k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
