EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
🏋️ 学習・ファインチューニングと MLOps
ファインチューニング、分散学習、強化学習、実験管理
すべて 1045🧠 大規模言語モデル 24🤖 AI エージェント 162🧩 アプリ開発プラットフォーム 22📚 RAG とナレッジベース 48💬 チャット UI とクライアント 40🖥️ ローカル推論とデプロイ 88👨💻 AI コーディング 97🛠️ 開発フレームワークと SDK 47🔌 MCP とツールエコシステム 36🎨 画像生成 26🎬 動画生成 17🎙️ 音声とオーディオ 45👁️ コンピュータビジョン 26📄 ドキュメント解析とスクレイピング 25🗄️ ベクトルデータベース 25🏋️ 学習・ファインチューニングと MLOps 71🧪 評価・可観測性・安全性 79🚪 API ゲートウェイとプロキシ 12🔎 検索とディープリサーチ 15⚙️ ディープラーニング基盤ライブラリ 58🏷️ データとアノテーション 32🔬 業界・研究向け AI 34⚡ 効率化ツール 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