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3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

a-boundary-based-out-of-distribution-classifier-for-generalized-zero-shot-learning

apollo

An open autonomous driving platform

cada-vae-pytorch

Pytorch implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

character_animation

A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"

dialogwae

Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

faiss

A library for efficient similarity search and clustering of dense vectors.

gcm-cf

[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

generalized-zero-shot-learning-via-aligned-variational-autoencoders

This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)

human-motion-prediction

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

lie-vae

VAEs with Lie Group latent space

machinelearning

Machine learning resources

motion_prediction

opencv

Open Source Computer Vision Library

predict-cluster

Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

sae-in-python

a python implement of the paper Semantic Autoencoder for Zero-Shot Learning

tgg-pytorch

The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".

wae

Wasserstein Auto-Encoders

zeroshot_cvae

Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders