huismiling Goto Github PK

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

aggregation-cross-entropy

Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.

alphafold

Open source code for AlphaFold.

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

aria2.conf

Aria2 配置文件 | OneDrive & Google Drvive 离线下载 | 百度网盘转存

autoawq

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

automl

Google Brain AutoML

bitdistiller

A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.

bitsandbytes

8-bit CUDA functions for PyTorch

caffe

Caffe: a fast open framework for deep learning.

carla

Open-source simulator for autonomous driving research.

cccl

CUDA C++ Core Libraries

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chipsalliance-playground

chipyard in mill :P

chipyard

An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

comp_yunwen_mae

computelibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

convnext

Code release for ConvNeXt model

craftgbd

code for CUImage and CUVideo

crnn.pytorch

Convolutional recurrent network in pytorch

customphonedialer

Custom phone dialer application

cvpr-2019-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

debiankindle

Scripts to install Debian on your Kindle

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"