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

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

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

A JavaScript Library for Dimensionality Reduction

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

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

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

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

R package for dimensionality reduction of small datasets

t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature

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

🤘 Map out your musical taste on Spotify with machine learning

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

NLP with NLTK for Sentiment analysis amazon Products Reviews

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

ASAP : Automated Single-cell Analysis Pipeline

CUDA-accelerated PyTorch implementation of t-SNE

Discover hidden patterns and relationships in unstructured data with Python