Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A Fast, Extensible Progress Bar for Python and CLI

Visualizer for neural network, deep learning, and machine learning models

100-Days-Of-ML-Code中文版

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

一款入门级的人脸、视频、文字检测以及识别的项目.

Keras implementations of Generative Adversarial Networks.

Setup and customize deep learning environment in seconds.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Deep Reinforcement Learning for Keras.

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Run Keras models in the browser, with GPU support using WebGL

A course in reinforcement learning in the wild

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

TensorFlow Basic Tutorial Labs

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

PipelineAI Kubeflow Distribution

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Building Large-Scale AI Applications for Distributed Big Data