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

Google Research

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

📡 Simple and ready-to-use tutorials for TensorFlow

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

PRML algorithms implemented in Python

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Build your neural network easy and fast, 莫烦Python中文教学

Python code for "Probabilistic Machine learning" book by Kevin Murphy

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Homepage for STAT 157 at UC Berkeley

🔥 Machine Learning Notebooks

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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

Keras documentation, hosted live at keras.io

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

TensorFlow Tutorials

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Repository for benchmarking graph neural networks

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Code / solutions for Mathematics for Machine Learning (MML Book)

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

GNN综述阅读报告

Github repo with tutorials to fine tune transformers for diff NLP tasks