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.

机器学习相关教程

中文 Python 笔记

Setup and customize deep learning environment in seconds.

Deep Reinforcement Learning for Keras.

Lightweight library to build and train neural networks in Theano

Neural network visualization toolkit for keras

Introduction to Deep Neural Networks with Keras and Tensorflow

Deep learning driven jazz generation using Keras & Theano!

Keras community contributions

DL course co-developed by YSDA, HSE and Skoltech

This is now the official location of the Merlin project.

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

Keras implementation of BERT with pre-trained weights

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

RNN-based generative models for speech.

Keras package for region-based convolutional neural networks (RCNNs)

Neural Machine Translation with Keras

A curated list of applied machine learning and data science notebooks and libraries across different industries.