Seleucia

lstmkf_ICCV2017

Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization

goca

PatientMocapRNN

RNNPose

CCNF

Libraries for training and testing Continuous Conditional Neural Fields with a number of sample problems and other baselines.

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

TARN

Tarn

brainstorm

Fast, flexible and fun neural networks.

cnf

Automatically exported from code.google.com/p/cnf

CNNRNet

CoCLR

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

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

gangealing

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment (CVPR 2022 Oral, Best Paper Finalist)

GoogleCloudSetup

Getting started with google cloud setup

human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

keras-kinetics-i3d

keras implementation of inflated 3d from Quo Vardis paper + weights

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

moco

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

noisy_units

Codes for the "Noisy Activation Functions" paper.

peclr

This is the pretraining code for PeCLR. An equivariant contrastive learning framework for 3D hand pose estimation. The paper is presented at ICCV 2021.

public_plstm

Phased LSTM

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

seleucia.github.io

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

TFTutorials

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

v3d

ViCC

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

wseg

[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast