M-Efforts's repositories
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
vaex
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
texthero
Text preprocessing, representation and visualization from zero to hero.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Maps
A list of open source projects related to Microsoft's geospatial and mapping services.
Python
All Algorithms implemented in Python
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
tianshou
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
vaex-examples
Examples of using vaex
PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
12306
12306智能刷票，订票
BNGPU
Scaling structural learning with NO-BEARS
python-spider
:rainbow:Python3网络爬虫实战
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
GNNPapers
Must-read papers on graph neural networks (GNN)
ST-MetaNet
The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
hello-world
just a test
CLRS
📚 Solutions to Introduction to Algorithms Third Edition
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Virgilio
Your new Mentor for Data Science E-Learning.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
probability
Probabilistic reasoning and statistical analysis in TensorFlow