smalliao's starred repositories

LightCTR

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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euler

A distributed graph deep learning framework.

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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PhoenixGo

Go AI program which implements the AlphaGo Zero paper

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maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

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bambi

BAyesian Model-Building Interface (Bambi) in Python.

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deepbayes-2018

Seminars DeepBayes Summer School 2018

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libffm

A Library for Field-aware Factorization Machines

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tutorials

机器学习相关教程

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tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

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caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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TensorFlow-Examples

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

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TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

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Deep-Learning-Experiments

Videos, notes and experiments to understand deep learning

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DeepLearning_Demo

深度学习入门的一些简单例子

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DDPG-Keras-Torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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deep-rl

Collection of Deep Reinforcement Learning algorithms

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tensorflow

An Open Source Machine Learning Framework for Everyone

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randomfun

Notebooks and various random fun

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leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

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