Qingrenn

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

30-Days-Of-JavaScript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

json

JSON for Modern C++

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

awesome-javascript

🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.

C-Plus-Plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

workflow

C++ Parallel Computing and Asynchronous Networking Framework

cpp-httplib

A C++ header-only HTTP/HTTPS server and client library

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

30dayMakeCppServer

30天自制C++服务器，包含教程和源代码

WebServer

C++ Linux WebServer服务器

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

lal

🔥 Golang audio/video live streaming lib/client/server. support RTMP, RTSP(RTP/RTCP), HLS, HTTP[S]/WebSocket-FLV/TS, GB28181, H264/H265/AAC/G711/OPUS, relay, cluster, record, HTTP Notify/API/UI. 直播

wfrest

C++ Web Framework REST API

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

rknn-toolkit

novelai-colab-ver

You can use this version to experience how novelai works without a good gpu.

Dynamic-convolution-Pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

MegCC

MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

BIT_CD

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

workflow_annotation

<-- workflow 中文注释 / demos / 源码解析

Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

rknpu

CMake

Common CMake modules

ASAP

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

view-GCN

Pytorch code for view-GCN (CVPR2020)

GLCC_AndroidApplication

An Android Application for GLCC

GLCC_Summary