verl
🧠A flexible, efficient, and production-ready post-training reinforcement learning framework for LLMs
OtherDeep LearningMultimodal
Browse by Filters
Project Type
Filter by Domain
All DomainsDeveloper Tools & Coding538Automation, Workflow & RPA413Protocol, API & Integration345Knowledge Management, Retrieval & RAG200Model Training & Inference132Education & Research Resources110Security & Privacy97Enterprise Applications & Office83Computer Vision & Multimodal74Data Analytics, BI & Visualization43Finance18Medical & Biomedicine7
Filter by Product Form
All Projects
33 projects
vLLM-Omni
🧠A fully disaggregated multimodal model inference and serving framework that extends vLLM to support any-to-any modality unified inference and high-performance deployment.
Deep LearningMultimodalFastAPI
Nemo Skills
✨A full-stack LLM development toolkit from NVIDIA covering synthetic data generation, multi-backend inference, model training, and 11-category benchmark evaluation, scaling from single GPU to tens-of-thousands-GPU Slurm clusters.
Deep LearningAI AgentsModel Context Protocol
mlx-openai-server
✨A high-performance OpenAI-compatible API server for MLX models on Apple Silicon, supporting text, vision, audio transcription, and image generation/editing.
Deep LearningLarge Language ModelsMultimodal
exo
✨A distributed inference framework for running frontier LLMs across local device clusters, built on Apple MLX and libp2p, featuring automatic device discovery, topology-aware parallelism, and multi-API compatibility.
Deep LearningLarge Language ModelsPyTorch
NeMo Gym
🧠An RL training environment building library for LLMs, providing complete infrastructure from development and testing to scaled rollout collection, with built-in RLVR scenarios and tool-calling support.
OtherDeep LearningAI Agents
Roboflow Trackers
✨A plug-and-play multi-object tracking (MOT) Python library offering modular implementations of classic algorithms like SORT and ByteTrack. Features a detector-agnostic design compatible with any object detection model (YOLO, DETR, etc.), supporting video files, cameras, RTSP streams, and more. Provides unified CLI tools and Python API with built-in evaluation metrics (CLEAR, HOTA, Identity).
MultimodalDeep LearningSDK
Machine Learning Systems (CS249r Book)
✨An interactive open-access textbook on Machine Learning Systems engineering from Harvard University, integrating the TinyTorch framework with hands-on edge deployment labs, covering the full spectrum from ML fundamentals to system optimization.
OtherDeep LearningMachine Learning
WiFi DensePose
✨A production-ready implementation of InvisPose that enables real-time, camera-free full-body tracking through walls using commodity WiFi mesh routers and CSI signals, with advanced analytics like fall detection and multi-person tracking.
MultimodalDeep LearningDocker
slime
✨An LLM post-training framework for RL scaling by Tsinghua THUDM, deeply integrating Megatron-LM training with SGLang inference engine for distributed reinforcement learning on large models like GLM, Qwen, DeepSeek, and Llama.
OtherDeep LearningLarge Language Models
Per page
Page 1 / 4 · 33 total