12,427 skills found · Page 84 of 415
Orchestra-Research / ray-trainDistributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling
Orchestra-Research / gptqPost-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16.
Orchestra-Research / ml-training-recipesBattle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation
Orchestra-Research / sglangFast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
Orchestra-Research / chromaOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval.
Orchestra-Research / pineconeManaged vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale.
Orchestra-Research / sentence-transformersFramework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks.
Orchestra-Research / clipOpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning.
Orchestra-Research / llavaLarge Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following.
Orchestra-Research / whisperOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing.
Orchestra-Research / presenting-conference-talksGenerates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script
Orchestra-Research / systems-paper-writingComprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines.
Orchestra-Research / peft-fine-tuningParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods
Orchestra-Research / grpo-rl-trainingExpert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
Orchestra-Research / lambda-labs-gpu-cloudReserved and on-demand GPU cloud instances for ML training and inference
Orchestra-Research / crewai-multi-agentMulti-agent orchestration framework for autonomous AI collaboration
Orchestra-Research / qdrant-vector-searchHigh-performance vector similarity search engine for RAG and semantic search
Orchestra-Research / audiocraft-audio-generationPyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen)
Orchestra-Research / blip-2-vision-languageVision-language pre-training framework bridging frozen image encoders and LLMs
Orchestra-Research / evaluating-cosmos-policyEvaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments
Orchestra-Research / segment-anything-modelFoundation model for image segmentation with zero-shot transfer
Orchestra-Research / stable-diffusion-image-generationState-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers
Orchestra-Research / knowledge-distillationCompress large language models using knowledge distillation from teacher to student models
Orchestra-Research / long-contextExtend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques
Orchestra-Research / model-mergingMerge multiple fine-tuned models using mergekit to combine capabilities without retraining
Orchestra-Research / model-pruningReduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT
Orchestra-Research / moe-trainingTrain Mixture of Experts (MoE) models using DeepSpeed or HuggingFace
Orchestra-Research / speculative-decodingAccelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques
Orchestra-Research / ml-paper-writingWrite publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM
Orchestra-Research / ara-compilerCompiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer (configs, code stubs), exploration graph, and grounded evidence
