Fast and memory-efficient exact attention

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Stable Diffusion web UI

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

深度学习经典、新论文逐段精读

The Python programming language

Library for reading and writing large multi-dimensional arrays.

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

NCCL Tests

An Open Source Machine Learning Framework for Everyone

A fast c++/cuda library of 3D render for the medical imaging

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

Productive & portable high-performance programming in Python.

JAX - A curated list of resources https://github.com/google/jax

A framework for implementing federated learning

MONAI Tutorials

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

AI-based pathology predicts origins for cancers of unknown primary - Nature

Deep Learning for humans

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Medical image preprocessing and augmentation toolkit for deep learning

The Triton backend for the ONNX Runtime.

Common source, scripts and utilities for creating Triton backends.