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Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
A Pytorch Facenet model improved by Active Learning
A Dark Room - A Minimalist Text Adventure
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
Submissions for AI and Efficiency SOTA's
[CVPR2020] Adversarial Latent Autoencoders
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
auto Iterative pruning based on caffe
Automated deep learning algorithms implemented in PyTorch.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Embedded and mobile deep learning research resources
Awesome machine learning model compression research papers, tools, and learning material.
A curated list of neural network pruning resources.
Caffe for Sparse and Low-rank Deep Neural Networks
Caffe: a fast open framework for deep learning.
Cats vs. dogs convnet classifier training (with model pruning) with Pytorch and serving with Flask and Docker
A reproduction and tweaking of Growing Neural Cellular Automata
Lightweight IPv6 hosts! Access to Google, YouTube, Facebook, Wikipedia via IPv6 and avoid unnecessary block.
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Pretrained models on CIFAR10/100 in PyTorch
Find label errors in datasets, weak supervision, and learning with noisy labels.
Learning Convolutional Neural Networks with Interactive Visualization.
Repository consists of pre-trained CNN model in pytorch, hitting 89% on Fashion MNIST dataset. Adversarial attack was implemented on a given model. Results are below.
Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.
A complete computer science study plan to become a software engineer.
: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、Java、Python、C++
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.