My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

Explore high-dimensional datasets and how your algo handles specific regions.

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Hacking sklearn's t-SNE implementation to animate embedding process

CUDA-accelerated PyTorch implementation of t-SNE

USUM: Plotting sequence similarity using USEARCH & UMAP & t-SNE

GTM and t-SNE classification and clustering of 1000 Genomes Project populations

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

Doc2Vec and Annotated Lyrics: Are they "Genius"? (DSI Capstone II Project)

A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."

The t-SNE visualization and actual query results of the deep feature embeddings for the paper "Supervised Deep Feature Embedding with Hand Crafted Feature" that has been accepted by the IEEE Transactions on Image Processing.

PCA, t-SNE, Guided backpropagation, Grad-CAM on multi-label image classification with CelebA as dataset; CNN on digit classification with SVHN as dataset

Minimal t-distributed stochastic neighbor embedding (t-SNE) implementation in JAX.

learning GNNs

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions