3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

Collection of operational time series ML models and tools

Python autoencoder to remove blur from images

Compressing images using Autoencoders and transferring them over the network

Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

A Recommender System that predicts ratings from 1 to 5 on MovieLens 1M Dataset

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

The project consists of implementing an autoencoder-based fraud detector

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

Breast Cancer H&E classification of Images and Image Generation

Complexity Assessment of LC methods on CPU and GPU

Data Science Research at Seattle University under Dr.Wan Bae. We try to mitigate class imbalance problem in asthama dataset using multiple algorithms.

Official repository for "Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders".

Using k-means clustering approaches to reduce intraclass variability. We have assessed a traditional clustering pipeline (feature extraction + dimensionality reduction with AE's + K-Means).

An exploration of generalizable approaches to unsupervised entity matching for use in linking tabular public energy data sources.

GANs, AEs, and VAEs for generating synthetic images