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2015lab3

2021-python-for-machine-learning-data-science-masterclass

a-roadmap-for-transfer-learning

a-sliced-wasserstein-loss-for-neural-texture-synthesis

adamatch-tf

Includes additional materials for the following keras.io blog post.

adapt

Awesome Domain Adaptation Python Toolbox

alda

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere".

amran

a deep domain adaptation method for remote sensing cross-scene classification

applied-deep-learning

Applied Deep Learning Course

atm

Maximum Density Divergence for Domain Adaptation, TPAMI 2020, Code release, Cross-domain Adversarial Tight Match

attention_unet

Neural Network for semantic segmentation

augmennt

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

autoencoders

Implementation of simple autoencoders networks with Keras

autoencoders_tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

awesome-domain-generalization

Awesome things about domain generalization, including papers, code, etc.

awesome-optimal-transport

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

banchmarks-domain-adaptation

bcidatasetiv2a

This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor imagery

breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

caf

[TKDE 2022] A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation

circleloss.pytorch

Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.

ckb

Pytorch code for “Conditional Bures Metric for Domain Adaptation” (CKB) (CVPR 2021).

classification-of-mnist-and-usps-dataset-using-machine-learning

The goal of this project is to implement machine learning models for the task of classification

cluda

Contrastive Learning for Domain Adaptation of Time Series

clustering-in-python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

cmld

CMLD: Contrastive mutual learning distillation for unsupervised domain adaptive person re-identification

cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

constrastive-noisy-label

Noisy labels