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Jie Liang's Projects

gmvae icon gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hanlp icon hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

hdrnet icon hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

jule-torch icon jule-torch

Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kcf icon kcf

Kernelized Correlation Filter tracker

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-cam icon keras-cam

Keras implementation of class activation mapping

leetcode icon leetcode

The optimum C++ solutions for the leetcode

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models icon models

Models and examples built with TensorFlow

movie_recommender icon movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

munit-tensorflow icon munit-tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

mxboard icon mxboard

Logging MXNet data for visualization in TensorBoard.

o-gan icon o-gan

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

optimizedimageenhance icon optimizedimageenhance

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

person-reid_gan icon person-reid_gan

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

ppgn icon ppgn

Code for paper "Plug and Play Generative Networks"

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