An optimizer that trains as fast as Adam and as good as SGD.
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)
This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Lightweight library to build and train neural networks in Theano
Code for the Lovász-Softmax loss (CVPR 2018)
:book: [译] scikit-learn（sklearn） 中文文档
A PyTorch Implementation of Single Shot MultiBox Detector
Computation using data flow graphs for scalable machine learning
Tutorial code on how to build your own Deep Learning System in 2k Lines