EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
🏋️ Entraînement, fine-tuning et MLOps
Fine-tuning, entraînement distribué, apprentissage par renforcement et suivi d’expériences
Tout 1045🧠 Grands modèles de langage 24🤖 Agents IA 161🧩 Plateformes de développement d’applications 22📚 RAG et bases de connaissances 48💬 Interfaces de chat et clients 40🖥️ Inférence et déploiement en local 88👨💻 Programmation assistée par IA 98🛠️ Frameworks et SDK 47🔌 MCP et écosystème d’outils 36🎨 Génération d’images 26🎬 Génération de vidéo 17🎙️ Voix et audio 45👁️ Vision par ordinateur 26📄 Analyse de documents et scraping 25🗄️ Bases de données vectorielles 25🏋️ Entraînement, fine-tuning et MLOps 71🧪 Évaluation, observabilité et sécurité 79🚪 Passerelles et proxys d’API 12🔎 Recherche et deep research 15⚙️ Bibliothèques de deep learning 58🏷️ Données et annotation 32🔬 IA pour l’industrie et la science 34⚡ Outils de productivité 16
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
An Engine-Agnostic Deep Learning Framework in Java
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Machine Learning Pipelines for Kubeflow
AI Infra / AI Orchestration / AI Control Plane
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory util
Open-source pipeline for rewriting AI-generated text into natural human prose. Need it in your app? Try the Lynote Humanizer API → lynote.ai/ai-humanizer-api
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Minimalistic large language model 3D-parallelism training
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Scalable toolkit for efficient model reinforcement
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of produ
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
A Data Streaming Library for Efficient Neural Network Training
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Python package for LLM compression
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs