🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.

An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

This project develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on metro routes in Medelllín, Colombia.

Supercharge Your Model Training

Geometric Computer Vision Library for Spatial AI

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Artificial Neural Networks trained by a Genetic Algorithm to play Pong.

A deep learning framework in mojo🔥

Samples and Tools for Windows ML.

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

On-device AI across mobile, embedded and edge for PyTorch

This project is an introduction to artificial neural networks thanks to the implementation of a multilayer perceptron.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensembl…

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

flexible and extensible implementation of a multithreaded feedforward neural network in Java including popular optimizers, wrapped up in a console user interface

Small autodiff lib and a simple working feedforward neural net in Haskell on top of it, from scratch, zero-deps.

This is a repo for learning to code a math library in cpp to 1. better my cpp skills 2. better my deep-learning & ML understanding