Python Data Science Handbook: full text in Jupyter Notebooks

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.

The fastai deep learning library

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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

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

Jupyter notebooks from the scikit-learn video series

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Materials for my scikit-learn tutorial

comparing stand up comedians using natural language processing

A list of NLP(Natural Language Processing) tutorials

《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

Scikit-learn tutorial at SciPy2016

Delta Lake examples

Tutorials that take an in depth look at how to view and manipulate DICOM images and how to get them ready for machine learning