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keras-mdn

Implementation of mixture density network layer and objective function in Keras

Mixture-Density-Networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

tensorflow-tutorial

TensorFlow and Deep Learning Tutorials

MALSAR

Multi-task learning via Structural Regularization

WassersteinGAN

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-fractal-playground

Generate beautiful fractals with TensorFlow! :art:

TensorFlow-Time-Series-Examples

Time Series Prediction with tf.contrib.timeseries

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

ensemble-package

Package for Ensemble of Machine Learning Models

example-code

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeplearningbook-chinese

Deep Learning Book Chinese Translation

keras

Deep Learning for humans

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

slambook

Wind-Speed-Analysis

An elegant probability model for the joint distribution of wind speed and direction.

jupyterlab

JupyterLab computational environment.

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

scikit-learn

scikit-learn: machine learning in Python

tensorflow

An Open Source Machine Learning Framework for Everyone

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

MSD_split_for_tagging

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

notes-python

中文 Python 笔记

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

nndl

Another Chinese Translation of Neural Networks and Deep Learning