LLM inference in C/C++

The official Meta Llama 3 GitHub site

Robust Speech Recognition via Large-Scale Weak Supervision

[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

Stable Diffusion in pure C/C++

Karras et al. (2022) diffusion models for PyTorch

Template for a simple resume or curriculum vitae (CV), in XeLaTeX.

Google Research

A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ICCV'23 Demo] [ICML'23 Workshop]

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Getting familiar with Github

Scripts to reproduce ERDOS experiments and graphs.

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Dataflow system for building self-driving car and robotics applications.

Google Brain AutoML

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.