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.

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

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

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

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

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

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

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.

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

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

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.

learning GNNs

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

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

Multi-Dimensional Analysis of Hate Speech Using BERT and Cluster Analysis

Tool to embed faces in a 2D space using computer vision and machine learning