cvc-lab Goto Github PK

3d_adv_mesh_pytorch3d

afc-website

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

cvc-website

ddlp

[TMLR 2024] Official PyTorch Implementation of Deep Dynamic Latent Particles

dhsis

Implemention of paper "deep hyperspectral image sharpening (TNNLS 2018)"

drl-rpn-tf

Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper)

dynamic-octree

Python implementation of the Dynamic Octree based on the initial C++ version.

material_xrd_vae

This is the repository for material project ML task.

mce-vae

Codebase for MCE-VAE project

mmvae

Multimodal Mixture-of-Experts VAE

mogptk

Multi-Output Gaussian Process Toolkit

motion_code

Time series analysis on multiple collections of data using extracted signatures, called motion codes, from the most informative timestamps

parkinsons-website

patch-subspace-learning-autoencoder

polargmm

Probabilistic PolarGMM: Unsupervised Cluster Learning of Very Noisy Projection Images of Unknown Pose

progressivesketching

psct_acml

pytorch_unodemsegnet

UNOdeMSegNet for Medical segmentation

rl_3d_adv_game

robustpinns

rse_rl

Code for reproducing results in Recursive Self-Improvement for Camera Image and Signal Processing.

sac-for-h-bond-learning

scikit-geometry

Scientific Python Geometric Algorithms Library

stick_breaking_vae

Implementing Stick-Breaking Variational Auto-encoder in Pytorch & Keras (Python3)

svgp-vae

Tensorflow implementation for the SVGP-VAE model.

taqt

Topological Scoring Function for RAWIV data

unetr_plus_plus

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

usdn

Unsupervised hyperspectral image super-resolution