Python - 100天从新手到大师

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

100-Days-Of-ML-Code中文版

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

💿 Free software that works great, and also happens to be open-source Python.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

📡 Simple and ready-to-use tutorials for TensorFlow

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

The "Python Machine Learning (1st edition)" book code repository and info resource

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

YSDA course in Natural Language Processing

Sample code for Channel 9 Python for Beginners course

Deep Learning Specialization by Andrew Ng on Coursera.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Jupyter notebook and datasets from the pandas video series

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Tutorials for DataCamp (www.datacamp.com)

Creating fun photomosaics, GIFs, and murals from your family pictures using ML & similarity search

The hands-on NLTK tutorial for NLP in Python

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)