mdiephuis

SimCLR

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

adversarial-autoencoders

Demonstration build of "Adversarial Autoencoders" by Alireza Makhzani et al

Berkeley-cs294-112

Berkely-cs294-112 Deep reinforcement learning homework

fix-match

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

flow

Collection of normalising flow experiments

generative-models

graph-transformer-network

made

nn_helpers

pytorch utility functions

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

PresGANs

Prescribed Generative Adversarial Networks

vae

Variational auto-encoder experiments

information-bottleneck-gan

Anti-exploration-RL

Anti exploration in offline reinforcement learning

Berkeley-cs294-158

Dash-User-Contributions

Dash repo of user contributed docsets

image_utilities

Collection of basic functions used for image processing and feature detection

Latent_Convolutional_Models

Latent Convolutional Models

LCM_clustered

mdiephuis

mdiephuis.github.io

A Jekyll theme with a minimal design inspired by typewriters.

ml_base

Base machine learning project page for VAEs or classifier / regressors

neural-processes

nlp-ex

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

rho_VAE

rho_VAE: an autoregressive parametrization of the VAE encoder

STTN

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

vae-1

Pytorch VAE's