Zhihang-Li's repositories

convnet-burden

Memory consumption and FLOP count estimates for convnets

Language:MatlabLicense:MITStargazers:0Issues:1Issues:0

GeneGAN

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

gflags

The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:

Language:C++License:BSD-3-ClauseStargazers:0Issues:1Issues:0

ICCV17-fashionGAN

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

Language:C++License:BSD-3-ClauseStargazers:0Issues:0Issues:0

Image-Text-Embedding

Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

Language:MATLABLicense:MITStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

Language:PythonStargazers:0Issues:1Issues:0

Person_reID_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Language:PythonLicense:MITStargazers:0Issues:0Issues:0

testPython

This is a test

Language:PythonStargazers:0Issues:0Issues:0

the-gan-zoo

A list of all named GANs!

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

License:MITStargazers:0Issues:0Issues:0

tutorials

机器学习相关教程

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:1Issues:0

visual-semantic-embedding

Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

VSE_Pytorch

Pytorch implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

Language:PythonStargazers:0Issues:1Issues:0