Tegg Sung (tegg89)

tegg89

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Company:EpiSys Science

Location:United States

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Tegg Sung's repositories

SRCNN-Tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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magnet

MAGNet: Multi-agents control using Graph Neural Networks

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rl-teacher-Pytorch

Deep reinforcement learning from human preferences in Pytorch (WIP)

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paper-notes

Collections of notes related to machine learning papers

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Practical_RL

A course in reinforcement learning in the wild

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homework

Assignments for CS294-112.

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Modulabs_log

Modulabs SafeAI Lab logs

oh-my-zsh

A delightful community-driven (with 1,100+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

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SafeAI

Reusable, Easy-to-use Uncertainty module package built with Tensorflow

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tegg89.github.io

The Jekyll Butler.

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world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

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DDPG

Tensorflow implementation of Deep Deterministic Policy Gradients

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hmfaysal-omega-theme

HMFAYSAL OMEGA is a minimalist, beautiful, responsive theme for Jekyll designed for writers who want their content to take front and center.

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pytorch-madrl

PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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baselines

A collection of baselines for the MineRL environment/datasets & the NeurIPS 2019 MineRL competition

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decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

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rlwray

Reinforcement Learning with RAY

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TNP-pytorch

Official implementation of Transformer Neural Processes

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