M-aterialism's repositories
All-in-at-the-River
XCPC Standard Code Library/计算几何/板子
websockify
Websockify is a WebSocket to TCP proxy/bridge. This allows a browser to connect to any application/server/service.
hpcgame-platform
HPC Game Platform
TrustAI
飞桨可信AI
dsp
Digital Speech Processing in PyTorch.
MATLAB_AR_Tutorials
MATLAB Live Editor tutorials for Augmented Reality(AR)用MATLAB玩转AR，数模协会学长写的教程
linux_learning_frame
总结嵌入式驱动开发的知识框架
Tongji-CTF-2022
第四届ctf wp
Knover
Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle
bert
TensorFlow code and pre-trained models for BERT
NLP-demo-heima
python-NLP自然语言处理（黑马）BV1Wp4y1a72e手敲代码
deeplearning-models
A collection of various deep learning architectures, models, and tips
styleguide
Style guides for Google-originated open-source projects
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
wpa-dictionary
WPA/WPA2 密码字典，用于 wifi 密码暴力破解
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
TRM_tutorial
Transformer在CV和NLP领域的变体模型的从零解读：Transformer；VIT；Swin Transformer
darknet
Convolutional Neural Networks
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
PASSL
PASSL包含 SimCLR，MoCo，BYOL，CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer，Swin-Transformer，BEiT，CVT，T2T，MLP_Mixer等视觉Transformer算法
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
gen_jack
彩票生成器
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
rt-thread
RT-Thread is an open source IoT operating system.
IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接