❤️ A simple, dark-themed JavaScript binary-to-decimal and decimal-to-binary converter. Supports full IP address conversions, not just single octets.

An analog circuit of a neural network to be used as a weighted order statistic filter

A collection of 25+ PyTorch-compatible implementations of recurrent layers

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

TensorFlow-like Deep Learning Library (For Roblox And Pure Lua).

Machine learning process to predict financial instrument prices up to 3 days

A comprehensive collection of 35+ recurrent neural network layers for Flux.jl

Modular deep learning model for multivariate time series classification

C++ Implementation of PyTorch Tutorials for Everyone

Repository for capstone project in United International University titled Multi-layer Embedded Video Anomaly Detection using Attention Driven Recurrence

Coherent Symbolic-Recursive Intelligence framework

Implementation of Liquid Nets in Pytorch

Indoor Air Quality Predictions and Monitoring

Practical project for time series prediction using recurrent neural networks (RNN) with Python.

This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.

This Project Predicts/Forecast Next Day's Temperature By Using RNN.It compares ARIMA and RNN models on real-world time series data from Melbourne, Australia. The goal is to build accurate and generalizable temperature predictors using Python and TensorFlow.

Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…

RNN-Based_Human_Activity_Recognition_using _Time_Series_Sensor_Data

Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)