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Nano vLLM

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

This repository contains the source code for the paper First Order Motion Model for Image Animation

Image augmentation for machine learning experiments.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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.

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

Open-source simulator for autonomous driving research.

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

An open source implementation of CLIP.

Open Machine Learning Compiler Framework

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

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

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

A PyTorch-based Speech Toolkit

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 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.

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

Fast and Accurate ML in 3 Lines of Code

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

🌸 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

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

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