Top 11667 Jupyter Notebook open source projects

Python - 100天从新手到大师

Models and examples built with TensorFlow

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

Data and code behind the articles and graphics at FiveThirtyEight

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Image-to-Image Translation in PyTorch

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Open Content for self-directed learning in data science

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

PyTorch implementation of Super SloMo by Jiang et al.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

TensorFlow Tutorials

High-performance TensorFlow library for quantitative finance.

A collection of various deep learning architectures, models, and tips

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.

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

Beaker Extensions for Jupyter Notebook

NeMo: a toolkit for conversational AI

A collection of IPython notebooks covering various topics.

Self hosted alternative to Google Photos

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

Coding the Machine Learning Tutorial for Learning to Learn

Bonus materials, exercises, and example projects for our Python tutorials

Neural Network Libraries

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

《统计学习方法》的代码实现

Zipline, a Pythonic Algorithmic Trading Library

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

notes about machine learning

A crash course in six episodes for software developers who want to become machine learning practitioners.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

pytorch tutorial for beginners

PyTorch original implementation of Cross-lingual Language Model Pretraining.

exercise for nndl

No description, website, or topics provided.

Simplified implementations of deep learning related works

Hummingbird compiles trained ML models into tensor computation for faster inference.

A TensorFlow & Deep Learning online course I taught in 2016