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Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"
MatchZoo modified by shao
Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.
Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.
End-to-end system reading in EEG signals and classifying them into three actions using a Machine Learning algorithm which controls a turtlebot
A PyTorch implementation of center loss on MNIST
机器学习实验 编写BP网络 KNN 朴素贝叶斯和svm(libsvm库)对数据集mnist进行分类
The pretrained models trained on Moments in Time Dataset
PyTorch implementation of "Multi-marginal Wasserstein GAN" (NeurIPS2019)
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
One-Shot Learning Demo for Fresh Machine Learning #1
Random notes on papers, likely a short-term repo.
Personalized Image Aesthetics (http://openaccess.thecvf.com/content_iccv_2017/html/Ren_Personalized_Image_Aesthetics_ICCV_2017_paper.html)
pgq's commit
Download pictures from internet based on python / web crawler
The Places365-CNNs for Scene Classification
PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Python based Image labelling tools
Image-to-Image Translation in PyTorch
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
PyTorch implementation of Grad-CAM
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Restricted Boltzmann Machines (RBMs) in PyTorch
pytorch implementation of Attention is all you need
Realtime emotion recognition from EEG data.
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
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.