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bustub

The BusTub Relational Database Management System (Educational)

chatroom

simple chatroom gui based on linux socket

cm256

Fast GF(256) Cauchy MDS Block Erasure Codec in C

convert2lunar

公历日期转阴历日期

ctc_pytorch

CTC end -to-end ASR for timit and 863 corpus.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet

Convolutional Neural Networks

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

dubbo

Apache Dubbo is a high-performance, java based, open source RPC framework.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

flask-apscheduler

Adds APScheduler support to Flask

gotts

Tiny tcp server/client in go

graphflow

hikang_cap_2

in-silico-labeling

Code for In silico labeling: Predicting fluorescent labels in unlabeled images

incubator-brpc

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services. "brpc" means "better RPC".

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

iocp-server

Minimal TCP server based on IOCP

labelu

web application for image labeling

ladder

A light-weight cross-platform event-driven web server

laddergo

Example of golang binding of ladder server

libusb

fork of libusb

libuvc

a cross-platform library for USB video devices

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minimal-http-server

An oversimplified http server

opencv-python-tutorial

OpenCV问答群1,QQ群号:187436093

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pygcn

Graph Convolutional Networks in PyTorch