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faster-rcnn-densecap-torch

Faster-RCNN based on Densecap

faster-rcnn.torch

Experimental Torch7 implementation of RCNN for Object Detection with a Region Proposal Network

faster_rcnn

Faster R-CNN

fastphotostyle

Style transfer, deep learning, feature transform

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

funit

Translate images to unseen domains in the test time with few example images.

fusenet

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gran

hairstyle-transfer

💇🏻‍♀️An end-to-end workflow for editing hair attributes on real faces

handwritingnet

RNN for producing text to handwriting image

highway-networks

idinvert

ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code

image-analogies

Generate image analogies using neural matching and blending.

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

improved-transition-based-parsing-by-modeling-characters-instead-of-words-with-lstms

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

interfacegan

Code for paper `Interpreting the Latent Space of GANs for Semantic Face Editing`

itorch

IPython kernel for Torch with visualization and plotting

learning-cmake

learning cmake

learning_to_execute

Learning to Execute

lstm

lstm-parser

Transition-based dependency parser based on stack LSTMs

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mgans

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

minimal-hand

A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

mmediting

OpenMMLab Image and Video Editing Toolbox

mobile

Some benchmark on the mobile end.