Stars
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Logistic regression on MNIST dataset using Pytorch.
A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A minimal, responsive, and feature-rich Jekyll theme for technical writing.
SQLAlchemy database migrations for Flask applications using Alembic
Resumes generated using the GitHub informations
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
dstack is an open-source container orchestrator that simplifies workload orchestration and drives GPU utilization for ML teams. It works with any GPU cloud, on-prem cluster, or accelerated hardware.
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
This repository contains all the code for my experiments in source separation specially those using the technique of NMF. This work was done as a part of an undergraduate research course at IIT Mad…
SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in