Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Yet another tensor library

My utility functions to start machine learning projects

AI-driven identification of biomarkers from hemodialysis data.

Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).

Safe and Performant Scientific Computing Library

Low-code framework for building custom LLMs, neural networks, and other AI models

Open standard for machine learning interoperability

Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.

a collection of small machine learning projects

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

use candle to implement some of the d2l.ai

The motivation behind this project is to develop a robust and efficient system for the early detection of brain tumors. By harnessing the capabilities of machine learning and neural networks, our objective is to create a solution that can aid healthcare professionals in accurately identifying brain tumors from medical images.

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Website for Privacy Engineering Program at CMU

Curated list of Python resources for data science.