shallowdream2 Goto Github PK

beijing_daxuexi_simple

北京 青年大学习 使用Github Actions自动完成

blog-index

一个通用的个人网站的引导页、导航页模板

c-program

This is a library for C++program

capellinisptrsv

A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs

captcha_crack

选字验证码破解，试验过网易和极验，破解率99

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

contrastive-clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

cuda-best-reduction

how to optimize some algorithm in cuda.

darknet_demo

darknet yolov3 tiny train model demo

data_structure

This is my data structure homework and it is a project about the Block Chain.

dormitorymanagement

基于Vue的宿舍管理系统

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

galaxydb-graph-database-benchmark

group4hsdl

gsxt_captcha

破解含语序问题的点击验证码

hime-display

A universal desktop model displayer for Live2D, Spine, MMD and VRoid.

labelimg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

ldbc-snb-impls

A collection of workload implementations for the LDBC SNB benchmark driver

ldbc_graphalytics

Generic driver for LDBC Graphalytics implementation

ldbc_graphalytics_platforms_graphblas

LDBC Graphalytics implementation using SuiteSparse:GraphBLAS and LAGraph

libpku

PKU资料

login-page-template

登录注册页面模板

my_cuda_gemm

A simple high performance CUDA GEMM implementation.

my_sparse

This is a test

myhpcg

Official HPCG benchmark source code

nemu

NJU EMUlator, a full system x86/mips32/riscv32/riscv64 emulator for teaching

nju-ics-pa

The wrapper repo for NJU ICS PA.

nvidia_sgemm_practice

Step-by-step optimization of CUDA SGEMM

ocr-rare-chars

生僻字OCR识别优化训练

p2h_on_ct

This is a simple way to apply the P2H technology on CT-index