Chris Hoyean Song's repositories

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xmodel

Multi Cloud Model Management System for Machine Learning

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DeepLearningWithTF2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

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ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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AISchoolTutorials

This repository contains the developer tutorials and samples to demonstrate how to create the experiments contained on AI Lab.

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bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

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cs231n.github.io

Public facing notes page

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deap

Distributed Evolutionary Algorithms in Python

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dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

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dm_env

A Python interface for reinforcement learning environments

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docs

TensorFlow documentation

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gcp-functions-example

GCP Functions Python Example

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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katib

Repository for hyperparameter tuning

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nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

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optuna

A hyperparameter optimization framework

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PRML

PRML algorithms implemented in Python

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ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

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sonnet

TensorFlow-based neural network library

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SPIRAL-docker

Dockerize Deepmind SPIRAL env

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SPIRAL-tensorflow

in progress (I'll revisit this after NIPS deadline)

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tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

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tfx

TFX is an end-to-end platform for deploying production ML pipelines

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