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Name: Nadezhda Koriakina
Type: User
Company: Uppsala University
Name: Nadezhda Koriakina
Type: User
Company: Uppsala University
Advanced Deep Learning with Python by Packt Publishing
Workshop material for the AIDA Graph Neural Networks workshop
Workshop material for the Transformers workshop
fast image augmentation library and easy to use wrapper around other libraries
Introduction slides for Alvis
Web interface for browsing, search and filtering recent arxiv submissions
Attention Branch Network (CIFAR100, ImageNet models)
Pretrained bag-of-local-features neural networks
Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)
Visualising predictions of deep neural networks
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Tensorflow implementation of CycleGANs
Installation instructions for Linux, Mac OS X and Windows
Lecture notes and code examples for Day 1: Basics
Lecture notes and code examples for Day 2: Best practices 1
Lecture notes and code examples for Day 3: High performance computing
Lecture notes and code examples for Day 4: Best practices 2
Lecture notes and code examples for Day 5: Data containers
Deep Comprehensive Correlation Mining
DualGAN-tensorflow: tensorflow implementation of DualGAN
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
Visualizing how deep networks make decisions
PyTorch implementation of Grad-CAM
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
A toolbox to iNNvestigate neural networks' predictions!
Two-day introduction course to Julia programming language
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.