PL's repositories
crayon
A language-agnostic interface to TensorBoard
GenerativeFaceCompletion
The source code of CVPR17 'Generative Face Completion'.
CCNF
Libraries for training and testing Continuous Conditional Neural Fields with a number of sample problems and other baselines.
text_objseg
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
residual-attention-network
Residual Attention Network for Image Classification
lambdaFM
Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.
Face_Alignment_Two_Stage_Re-initialization
Test code of the CVPR 2017 paper "A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection"
LeetCode-1
:pencil: Python / C++ 11 Solutions of LeetCode Questions
superviseddescent
C++11 implementation of the supervised descent optimisation method
ELL
Embedded Learning Library
Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
models
Models built with TensorFlow
face-alignment-1
7000+FPS face alignment
pytorch-segmentation
Pytorch for Segmentation
DenseReg
Code repository for DenseReg.
DistanceGAN
Pytorch implementation of "One-Sided Unsupervised Domain Mapping"
lsfm
Large Scale Facial Model (LSFM) - an automatic pipeline for constructing 3D Morphable Models from large collections of facial meshes
Fast-Face-android
👦 Fast-Face : Very fast facial landmark detection with android app. You can check your landmarks in 60ms
deepcontext
Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
MooneyFaceGenerator
A Deep Learned Model for Generate Mooney Faces from Photos
Neural-Style-MMD
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
pose-attention
Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
noisy_labels
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
WassersteinGAN.torch
Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
adversarial-frcnn
A-Fast-RCNN (CVPR 2017)
pytorch-REINFORCE
PyTorch Implementation of REINFORCE for both discrete & continuous control