MaximeVandegar

Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

Normalizing-Flows

A repository to learn about Flows, mostly from papers

NEB

Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep-image-prior

Image restoration with neural networks but without learning.

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

delfi

Density estimation likelihood-free inference

diff-gaussian-rasterization

football

humanRL_prior_games

[ICML-18] Codes for the custom games we built to compare RL agents with humans

nerfplusplus

improves over nerf in 360 capture of unbounded scenes

nerfstudio

A collaboration friendly studio for NeRFs

NeuS

Code release for NeuS

OmniFold

Universally unfolding collider data with machine learning-based reweighting.

RL-Adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

simple-knn

snl

Sequential Neural Likelihood

spinningup

An educational resource to help anyone learn deep reinforcement learning.

talk-template

Template for talks in remark+KaTeX.

UMNN

Implementation of Unrestricted Monotonic Neural Network and the related experiments.