Top 11667 Jupyter Notebook open source projects

Simple tutorials using Google's TensorFlow Framework

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

中文 Python 笔记

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。

Code for Tensorflow Machine Learning Cookbook

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Deep Learning Examples

XLNet: Generalized Autoregressive Pretraining for Language Understanding

以撸代码的形式学习Python

The Udacity open source self-driving car project

From the basics to slightly more interesting applications of Tensorflow

Distributed Asynchronous Hyperparameter Optimization in Python

Automatic extraction of relevant features from time series:

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

📘 The interactive computing suite for you! ✨

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

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 ;)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源中国博客、简书。

Notebooks and code for the book "Introduction to Machine Learning with Python"

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

My blogs and code for machine learning. http://cnblogs.com/pinard

Statistical Machine Intelligence & Learning Engine

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Efficient Image Captioning code in Torch, runs on GPU

fast.ai Courses

this repository accompanies the book "Grokking Deep Learning"

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Recipes for using Python's pandas library

An open source library for deep learning end-to-end dialog systems and chatbots.

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

数据科学的笔记以及资料搜集

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Universal markup converter

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Reproducible Data Science at Scale!

Unsupervised text tokenizer for Neural Network-based text generation.

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

Code samples used on cloud.google.com

PyTorch tutorials.

Build Graph Nets in Tensorflow

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Notebooks for learning deep learning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

TensorFlow examples

Deep Learning (with PyTorch)

The 3rd edition of course.fast.ai

A next-generation curated knowledge sharing platform for data scientists and other technical professions.