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2015

api-get-started

LinkedIn REST API Getting Started Tutorial

brainstorm

Fast, flexible and fun neural networks.

ccnf

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

ci_2014_rg_hc

Repository for the source code of our CI project

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/

dl-rnn

Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM

dropout

A theano implementation of Hinton's dropout.

eclispleprojects

gangealing

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

goca

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

libdai

A free and open source C++ library for Discrete Approximate Inference in graphical models

lstmkf_iccv2017

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

malaysiacrime

Mapping Crime in Malaysia

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

moco

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

motu-client-python

Our fork to make motu-client work with our project jellyrisk-forecaster

noisy_units

Codes for the "Noisy Activation Functions" paper.

opencv

Open Source Computer Vision Library

patientmocaprnn

pdf.js

PDF Reader in JavaScript

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.

prototypical-networks-for-few-shot-learning-pytorch

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