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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
深度学习论文翻译,包括分类论文,检测论文等
:satellite: Organized Resources for Deep Learning Researchers and Developers
Methods and Implements of Deep Clustering
Deep learning toolbox based on PyTorch for hyperspectral data classification.
note, code of learning deep learning
Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与源码级代码实现
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
A Python library for dynamic classifier and ensemble selection
DICTOL - A Dictionary Learning Toolbox in Matlab and Python
Implementation of "Discretize Relaxed Solution of Spectral Clustering via A Non-Heuristic Algorithm", IEEE Transactions on Neural Networks and Learning Systems.
Instructions for setting up the software on your deep learning machine
GPU-accelerated Deep Learning on Windows 10 native
Unsupervised Feature Learning and Deep Learning Tutorial
Dual-Graph Regularized Discriminative Transfer Sparse Coding for Facial Expression Recognition
ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)
Extended Binary Cuckoo Search for Feature Selection
This repo implements the adaptive graph learning algorithm for clustering, based on Extreme Learning Machine and Constrained Laplacian Rank.
This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.
Codes of the paper "Learning Extremely Shared Middle-level Image Representation for Scene Classification"
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Human Fall Detection from CCTV camera feed
FashionAI Clothes Attribute Recognition
Faster R-CNN
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).
Features selector based on the self selected-algorithm, loss function and validation method
Feature selection methods using optimization algroithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.