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3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

activityrecognition

Information about activity recognition

anchored_ens_rl_explore

Code from paper 'Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning'

ao-kwave-mcboost

AO simulation integrating US and MC into single executable

arcface-pytorch

arpaint

Draw with bare fingers in the air using ARKit

bayesian_cnn

Bayes by Backprop implemented in a CNN in PyTorch

bayesian_nn_ensembles

Code from paper 'Uncertainty in Neural Networks: Bayesian Ensembling'

bbmsg-gan

BMSG-GAN with more features

bbox-label-tool

A simple tool for labeling object bounding boxes in images

bicyclegan

Toward Multimodal Image-to-Image Translation

bmsg-gan

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

channelnets

Tensorflow Implementation of ChannelNets (NIPS18)

cloudkitpy

A python wrapper around CloudKit Web Services for server-to-server connections.

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

convolutional-pose-machines-tensorflow

cppmt

csa-inpainting

Coherent Semantic Attention for image inpainting(ICCV 2019)

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

dcec

dec-da

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

dec-keras-1

Deep Embedding Clustering in Keras

deep-ensembles-uncertainty

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

deep_learning_prediction_intervals

Code from paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

deepsim

Official PyTorch implementation of the paper: “Deep Single Image Manipulation”.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).