A Library for Advanced Deep Time Series Models.

BLOCKSET: Efficient out of core tree ensemble inference

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

Random Forest Implementation in Java

🐢 Open-Source Evaluation & Testing for LLMs and ML models

A technical report on convolution arithmetic in the context of deep learning

Cytoscape 3 Clustering App

Code repository for Neural Network Programming with Java Second Edition, published By Packt

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the pur…

Knee point detection in Python 📈

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

BAyesian Model-Building Interface (Bambi) in Python.

Tensorflow implementation of Levenberg-Marquardt training algorithm

Some papers that have been of great help in my work, especially in the fields of ML and DL.

Apache Commons Math

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…

NeuPy is a Tensorflow based python library for prototyping and building neural networks

disentanglement_lib is an open-source library for research on learning disentangled representations.

This is the repository of the paper

Species vector representations

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Multimodal Mixture-of-Experts VAE

Introduction to ML using Tensorflow

Dataset for Software Evolution and Quality Improvement

Scikit-learn compatible estimation of general graphical models

Hyperparameter Experiments with TensorFlow and Keras