Tensors and Dynamic neural networks in Python with strong GPU acceleration

NeuroMelNet - End-to-End binary classification model for AI speech detection with PyTorch implementation. Python API & Tg-bot API

Neural Turing Machine for a Multi-Processor System on Chip verified with UVM/OSVVM/FV

Neural Turing Machine for a System on Chip verified with UVM/OSVVM/FV

Neural Turing Machine for a Processing Unit verified with UVM/OSVVM/FV

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

Sandbox for graphics paper implementation

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

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

Awesome Time-Series Imputation Papers, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values/data

neural network framework in c

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

An FPGA design for simulating biological neurons

A Python and Rust chess engine that starts from Zero.

An Open Source Machine Learning Framework for Everyone

This repository contains implementations of various machine learning algorithms from scratch (KNN, MSE Linear Regression, SVM, Neural Networks, Logistic Regression). Each algorithm is implemented in Python and is contained in its own directory.

Single perceptron neural network , capacble of add . sub, mul and div from training data

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

An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.

Open standard for machine learning interoperability