Fei Huang

easyVmaf. Python script to easily compute VMAF using FFmpeg. It allows to deinterlace, scale and sync Ref and Distorted video automatically

gridplayer. Play videos side-by-side

bitstream_mode3_p1204_3. Open source reference implementation of ITU-T P.1204.3

CenseoQoE. image and video quality assessment

use_vim_as_ide. use vim as IDE

itu-p1203-codecextension. ITU-T Rec. P.1203 Codec Extension to VP9 and HEVC

HelloGitHub. :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

Soybean_Cultivar_Recognition. Soybean_Cultivar_Recognition project

photo-composition. "Learning to Compose with Professional Photographs on the Web"论文源码解析

koniq-PyTorch. A Pytorch implementation of No-Reference Image Quality Assessment (NR-IQA) models trained on the KonIQ-10k dataset

mpmath. 微信公众号公式编辑插件

vision. Datasets, Transforms and Models specific to Computer Vision

pretrained-models.pytorch. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

neural-image-assessment. Implementation of NIMA: Neural Image Assessment in Keras

YouCompleteMe. A code-completion engine for Vim

vim-for-server. .vimrc, simple configures for server, without plugins.

koniq. KonIQ-10k Deep Learning Models

koniq-PyTorch. PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k

HBP-pytorch. Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.

Machine_Learning. This is a library of machine learning. I designed it to learn more about machine learning.

covid19_critically_ill. Trained model and inference code for early triage of critically-ill COVID-19 patients.

100-Days-Of-ML-Code. 100 Days of ML Coding

learning-spark. Example code from Learning Spark book

XCTest-Demo. iOS 单元测试框架 XCTest 示例工程

caffe-model-zoo. caffe pretrained models and prototxt

ReadyForBAT. 慕课网iOS面试实战项目总结：iOS面试题思维导图与回答

996.ICU. Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Bilinear-CNN-TensorFlow. This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

deep-learning-papers-translation. 深度学习论文翻译，包括分类论文，检测论文等

Deep-Plant. Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

Hierarchical-Bilinear-Pooling. Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.

TensorFlowLite_Demo. TensorFlow Lite 的demo。iOS使用TensorFlow Lite配置教程

MLkit-CN. [UNMAINTAINED] ML Kit 中文文档

tensorflow-vgg16-train-and-test. The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

view-finding-network. A deep ranking network that learns to find good compositions in a photograph.

deep-visualization-toolbox. DeepVis Toolbox

models. Models and examples built with TensorFlow

CS-Notes. :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计