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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Universal LLM Deployment Engine with ML Compilation
Fast and memory-efficient exact attention
SGLang is a fast serving framework for large language models and vision language models.
Stable Diffusion with Core ML on Apple Silicon
Simple, Pythonic remote execution and deployment.
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 RN…
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Large Language Model Text Generation Inference
A framework for few-shot evaluation of language models.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
The comprehensive WSGI web application library.
OpenMMLab's next-generation platform for general 3D object detection.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
Most popular metrics used to evaluate object detection algorithms.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Manipulation and analysis of geometric objects
Simple, online, and realtime tracking of multiple objects in a video sequence.
Lightweight library to build and train neural networks in Theano
Build custom inference engines for models, agents, multi-modal systems, RAG, pipelines and more.