Tensorflow Tutorial alternatives for AI agents.

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

12 Weeks, 24 Lessons, AI for All!

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

We write your reusable computer vision tools. 💜

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Synthetic data generation for tabular data

A list of all named GANs!

Code for Tensorflow Machine Learning Cookbook

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.