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The classical papers and codes about generative adversarial nets
Web interface for browsing, search and filtering recent arxiv submissions
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
A curated list of awesome architecture search resources
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Links to a curated list of awesome implementations of models.
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
A curated list of deep learning resources for computer vision
A curated list of neural architecture search (NAS) resources.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome resources combining Transformers with Neural Architecture Search
Pytorch code for paper: CARS: Continuous Evolution for Efficient Neural Architecture Search
Re-implement CycleGAN in Tensorlayer
Differentiable architecture search for convolutional and recurrent networks
Distributed Evolutionary Algorithms in Python
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
DeeplabV2 segmentation in Keras.
A PyTorch Implementation of MobileNetv2+DeepLabv3
Implementation of recent Deep Learning papers
Deep networks for Earth Observation
Densely Connected Search Space for More Flexible Neural Architecture Search
The solution of team 'grt123' in DSB2017
Code for 2nd place solution to the 2017 National Data Science Bowl
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Face recognition using Tensorflow
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.