PL's repositories

crayon

A language-agnostic interface to TensorBoard

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GenerativeFaceCompletion

The source code of CVPR17 'Generative Face Completion'.

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CCNF

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

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text_objseg

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

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residual-attention-network

Residual Attention Network for Image Classification

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lambdaFM

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

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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"

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LeetCode-1

:pencil: Python / C++ 11 Solutions of LeetCode Questions

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superviseddescent

C++11 implementation of the supervised descent optimisation method

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ELL

Embedded Learning Library

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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.

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models

Models built with TensorFlow

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face-alignment-1

7000+FPS face alignment

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pytorch-segmentation

Pytorch for Segmentation

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DenseReg

Code repository for DenseReg.

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DistanceGAN

Pytorch implementation of "One-Sided Unsupervised Domain Mapping"

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lsfm

Large Scale Facial Model (LSFM) - an automatic pipeline for constructing 3D Morphable Models from large collections of facial meshes

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Fast-Face-android

👦 Fast-Face : Very fast facial landmark detection with android app. You can check your landmarks in 60ms

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deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

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MooneyFaceGenerator

A Deep Learned Model for Generate Mooney Faces from Photos

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Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

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pose-attention

Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)

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improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

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noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

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WassersteinGAN.torch

Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875

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adversarial-frcnn

A-Fast-RCNN (CVPR 2017)

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pytorch-REINFORCE

PyTorch Implementation of REINFORCE for both discrete & continuous control

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