Starred repositories
155
stars
written in Jupyter Notebook
Clear filter
Python - 100天从新手到大师
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Course Files for Complete Python 3 Bootcamp Course on Udemy
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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.
A High-Quality Real Time Upscaler for Anime Video
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Natural Language Processing Tutorial for Deep Learning Researchers
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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
TensorFlow Tutorials with YouTube Videos
Image restoration with neural networks but without learning.