Pinned Repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
500lines
500 Lines or Less
AI-for-Security-Learning
安全场景、基于AI的安全算法和安全数据分析学习资料整理
algorithm
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Autoencoders
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
pyspark-tutorial
PySpark-Tutorial provides basic algorithms using PySpark
licsh's Repositories
licsh/AI-for-Security-Learning
安全场景、基于AI的安全算法和安全数据分析学习资料整理
licsh/Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
licsh/pyspark-tutorial
PySpark-Tutorial provides basic algorithms using PySpark
licsh/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
licsh/Autoencoders
licsh/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
licsh/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
licsh/Ax
Adaptive Experimentation Platform
licsh/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
licsh/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
licsh/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
licsh/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
licsh/gruvbox-contrib
Ports of the gruvbox colorscheme
licsh/hello-algo
《Hello 算法》是一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。
licsh/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
licsh/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
licsh/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
licsh/Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
licsh/lihang-code
《统计学习方法》的代码实现
licsh/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
licsh/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
licsh/numpy-ml
Machine learning, in numpy
licsh/optuna
A hyperparameter optimization framework
licsh/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
licsh/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
licsh/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
licsh/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
licsh/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
licsh/tensorflow-handbook
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
licsh/tutorial