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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"
IBM Analog Hardware Acceleration Kit
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Automatic architecture search and hyperparameter optimization for PyTorch
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Automated deep learning algorithms implemented in PyTorch.
Learning to Map Large-scale Sparse Graphs on Memristive Crossbar
aw_nas: A Modularized and Extensible NAS Framework
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
A curated list of neural network pruning resources.
A Python implementation of global optimization with gaussian processes.
binary weight neural network implementation on tensorflow
Binarized Neural Network (BNN) for pytorch
Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop].
Quickly build a beautiful personal blog. Example: Yuyao's Blog ->
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
A large-scale face dataset for face parsing, recognition, generation and editing.
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
A tool for converting COCO style annotations to PASCAL VOC style segmentations
Differentiable architecture search for convolutional and recurrent networks
Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055
Dynamic Distribution Pruning for Efficient Network Architecture Search
A simple and accurate method to fool deep neural networks
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
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.