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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Nano vLLM

A toolkit for making real world machine learning and data analysis applications in C++

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Open-source simulator for autonomous driving research.

An open source implementation of CLIP.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Open Machine Learning Compiler Framework

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

A PyTorch-based Speech Toolkit

A paper list of object detection using deep learning.

🐍 Geometric Computer Vision Library for Spatial AI

LAVIS - A One-stop Library for Language-Vision Intelligence

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Fast and Accurate ML in 3 Lines of Code

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

TensorFlow-based neural network library

A collection of pre-trained, state-of-the-art models in the ONNX format

Deep learning library featuring a higher-level API for TensorFlow.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A python library for user-friendly forecasting and anomaly detection on time series.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Running large language models on a single GPU for throughput-oriented scenarios.