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Type: Organization
Type: Organization
Further improve robustness of mixup-trained models in inference (ICLR 2020)
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
notes about machine learning
Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
An All-MLP solution for Vision, from Google AI
Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
mlpack: a scalable C++ machine learning library
Machine Learning Problem Bible
A library of extension and helper modules for Python's data analysis and machine learning libraries.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Mnist dataset for Torch
MNN is a lightweight deep neural network inference engine.
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
๐AIๆๅฃฐ: 5็งๅ ๅ ้ๆจ็ๅฃฐ้ณๅนถ็ๆไปปๆ่ฏญ้ณๅ ๅฎน Clone a voice in 5 seconds to generate arbitrary speech in real-time
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722
Collections of model quantization algorithms
Models built with TensorFlow
Implementation of momentum^2 teacher
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
A Generic Multi-classifier Paradigm forIncremental Learning
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.