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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)
🐢 Open-Source Evaluation & Testing for LLMs and ML models
A technical report on convolution arithmetic in the context of deep learning
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…
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.
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.
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
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