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PyTorch implementation of LeNet-5 with live visualization
pytorch LeNet5
PyTorch implementation Large-Margin Softmax (L-Softmax) loss
This repo contains the source code accompanying a scientific paper with the same name.
This is MFCC c++ code
Implementation of the mixup training method
机器学习的相关书籍
Improving MMD-GAN training with repulsive loss function
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Models and examples built with TensorFlow
Single Image Depth Estimation with Feature Pyramid Network
Neural architecture search(NAS)
《新概念英语》
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification.
🐦 Quickly annotate data from the comfort of your Jupyter notebook
Semi-supervised learning with graph embeddings
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
pygcn w/o pitfalls
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.