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3dgnn_pytorch

3D Graph Neural Networks for RGBD Semantic Segmentation

autoencoder

bigdataanalysis

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

character-level-rnn

co-prune

Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.

coclr

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

cskd

deephandmesh

Official PyTorch implementation of "DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling," ECCV 2020

dirichlet-priornet

Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.

due

Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

face-parsing.pytorch

Using modified BiSeNet for face parsing in PyTorch

gaussian-mixture-model

gaussian-naive-bayes

hanoi-tower

hiera

Hiera: A fast, powerful, and simple hierarchical vision transformer.

hiera_liyun

htmpapers

Numenta published papers code and data

hybrid-image

kd_uda

kernelknn

learning_filter_basis

Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019

liftedgan

(CVPR 2021) Lifting 2D StyleGAN for 3D-Aware Face Generation

liyunjamesphd.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

mnist

mnist_mlp

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mqm