📚 Learn ML with clean code, simplified math and illustrative visuals.

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

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

A neural network that transforms a design mock-up into a static website.

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

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

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

Keras implementations of Generative Adversarial Networks.

一款入门级的人脸、视频、文字检测以及识别的项目.

Set up deep learning environment in a single command line.

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.

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

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

A course in reinforcement learning in the wild

PipelineAI Kubeflow Distribution

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

TensorFlow Basic Tutorial Labs

BigDL: Distributed Deep Learning Framework for Apache Spark

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

unet for image segmentation

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

Introduction to Deep Neural Networks with Keras and Tensorflow

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Neural network visualization toolkit for keras