Pinned Repositories
SoCRATES
System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning
Deep-blogs
A curated lists of self-taught materials including research blogs
Deep-tutorials
A collection of tutorials from Deep Learning conferences.
installation-1080ti
Installation on NVIDIA graphic driver (1080ti)
magnet
MAGNet: Multi-agents control using Graph Neural Networks
paper-notes
Collections of notes related to machine learning papers
Practical_RL
A course in reinforcement learning in the wild
rl-teacher-Pytorch
Deep reinforcement learning from human preferences in Pytorch (WIP)
SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
VAE-Tensorflow
Variational Auto-Encoder implementation in Tensorflow
tegg89's Repositories
tegg89/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
tegg89/magnet
MAGNet: Multi-agents control using Graph Neural Networks
tegg89/rl-teacher-Pytorch
Deep reinforcement learning from human preferences in Pytorch (WIP)
tegg89/paper-notes
Collections of notes related to machine learning papers
tegg89/Practical_RL
A course in reinforcement learning in the wild
tegg89/cpp2py_data
tegg89/cs231n
tegg89/homework
Assignments for CS294-112.
tegg89/Modulabs_log
Modulabs SafeAI Lab logs
tegg89/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.
tegg89/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tegg89/reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
tegg89/SafeAI
Reusable, Easy-to-use Uncertainty module package built with Tensorflow
tegg89/tegg89.github.io
The Jekyll Butler.
tegg89/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
tegg89/DDPG
Tensorflow implementation of Deep Deterministic Policy Gradients
tegg89/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.
tegg89/papers
tegg89/pytorch-madrl
PyTorch implementations of various DRL algorithms for both single agent and multi-agent.
tegg89/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
tegg89/anchored_ensembling
tegg89/baselines
A collection of baselines for the MineRL environment/datasets & the NeurIPS 2019 MineRL competition
tegg89/categorical_dqn
tegg89/cpprl
tegg89/crypto
tegg89/decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
tegg89/gym
A toolkit for developing and comparing reinforcement learning algorithms.
tegg89/learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
tegg89/rlwray
Reinforcement Learning with RAY
tegg89/TNP-pytorch
Official implementation of Transformer Neural Processes