skywalker1990's starred repositories
python3-source-code-analysis
《Python 3 源码剖析》
system-design-questions
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
Mastering-Transformers
Mastering Transformers, published by Packt
Learn-Git-in-30-days
這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】,歡迎大家 fork 我,如果有看見任何文字勘誤,也歡迎利用 pull request 來通知我修正,謝謝!
FreeAdversarialTraining
PyTorch Implementation of Adversarial Training for Free!
Awesome-Neural-Logic
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
backtrader
Python Backtesting library for trading strategies
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
PythonPark
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
probability
Probabilistic reasoning and statistical analysis in TensorFlow
scalable-data-science
Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.
awesome-online-machine-learning
:bookmark_tabs: Online machine learning resources