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Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
Python code for our paper "Adversarial Domain Adaptation for Identifying Phase Transitions"
Toy implementation of generative adversarial networks for gaussian mixtures
Code release for "Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach".
Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
Classification of different categories of audio clips, especially non speech sounds using Bag-of-Frames approach.
Classification of WAV files from cats and dogs
Best transfer learning and domain adaptation resources (papers, tutorials, codes, etc.)
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
A collection of AWESOME things about domian adaptation
Simple Tensorflow implementation of Batch-Instance Normalization (NIPS 2018)
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
Quick implementation of Deep Cosine Metric Learning for Person Re-Identification in Keras
CrossTrainer: Practical Domain Adaptation with Loss Reweighting
Toy version of Paillier cryptosystem
"Feature-level domain adaptation" (JMLR2015)
Deep Attentive Center Loss
DCASE 2017 Baseline system
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
Set of 1D CNN models to classify sound clips from the Urban Sound Classification dataset using Keras and Librosa
Domain Adaptations for Video Recognition
Some algorithms for domain adaptation
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.