📚 A practical approach to machine learning.

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

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.

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

Deep Reinforcement Learning for Keras.

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.

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

PipelineAI: Real-Time Enterprise AI Platform

TensorFlow Basic Tutorial Labs

An open source library for deep learning end-to-end dialog systems and chatbots.

A course in reinforcement learning in the wild

BigDL: Distributed Deep Learning Library for Apache Spark

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

Introduction to Deep Neural Networks with Keras and Tensorflow

Deep learning driven jazz generation using Keras & Theano!

Neural network visualization toolkit for keras

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

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

unet for image segmentation