vincenzodentamaro

keras-FastKAN

Tensorflow Keras implementation of FastKAN Kolmogorov Arnold Network

ModelingNeuralCircuits

Code to accompany the textbook "Modeling Neural Circuits Made Simple"

aucoresnet

AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath

deep-symbolic-optimization

A deep learning framework for symbolic optimization.

progressive-neural-architecture-search

Implementation of Progressive Neural Architecture Search in Keras and Tensorflow

keras-nas-pgrl

Neural Architecture Search (NAS) using policy gradient Reinforcement Learning (RL)

CHUWI-MINIBOOK-HACKINTOSH

EFI files for hackintosh on the CHUWI Minibook

ECG_Heartbeat_Classification

CNN for heartbeat classification

licic

Less Important Components for Imbalanced multi-class Classification - LICIC

GeoJsonify

Easily add GeoJson layers to your Maps

research

dataset and code for 2016 paper "Learning a Driving Simulator"

Autopilot-TensorFlow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

Self-Driving-Car

AutoRCCar

OpenCV Python Neural Network Autonomous RC Car

Sunfounder_Smart_Video_Car_Kit_for_RaspberryPi

Sunfounder Smart Video Car Kit for Raspberry Pi

aparapi

The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.

IndoorMag

Indoor Magnitude

WifiAnalyticsIoT

daily-stock-forecast

Daily Stock Forecasts using Machine Learning & Python

librec

LibRec: A Leading Java Library for Recommender Systems, see

python-recsys

A python library for implementing a recommender system

teseo

Track multiple agents in a indoor wireless sensor network through an implementation of a variant extended Kalman filter

ee532-BrainIT-LSTM

LSTM---Stock-prediction

A long term short term memory recurrent neural network to predict forex data time series

pyTrading

A library for stock market analysis and automated trading, powered by sklearn.

stock-ml

A stock prediction machine learning repository

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

encog-java-core

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

EKFIndoorTracker

EKF Indoor Tracker estimates static user position by using extended kalman filters