AGKhalil

ll-vq-vae

pls-work

diss_quad

RL agent for quad env

AGKhalil.github.io

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

COMS30007

docker-neovim

A dockerized version of my neovim setup.

dqn

dqn_tutorial

efficient-evolution

Efficient evolution from protein language models

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-maze

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

homework_fall2019

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

minimal-transformer

multi-docker

multi container deployement using docker example.

multi-k8s

neurips2020-procgen-starter-kit

Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd

procgen

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

python-ide

a docker image for python development on the command line

python-vim

Docker vim editor for python with configuration (lot of python, autocompletition, fuzzy finder, debugger, ...)

python_feedback_app

Python Flask feedback app with database and email

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

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.

remote_work

RL_implements

PyTorch implementations of Deep RL algorithms.

SphereDecoding

Sphere decoding : (SDIRS algorithm) and using Deep Neural Network to improve

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Upside-Down-Reinforcement-Learning

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

wandb_tutorial

An example repo for running wandb with PyTorch