518 Open source projects that are alternatives of or similar to Arl Eegmodels

Outdated, see new https://github.com/braindecode/braindecode

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

EEG Sleep stage classification using CNN with Keras

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Unofficial PyTorch Reimplementation of RandAugment.

Vehicle detection using YOLO in Keras runs at 21FPS

Draw multi-layer neural network in your browser

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Multi-view CNN (MVCNN) for shape recognition

Code examples for new APIs of iOS 10.

RMDL: Random Multimodel Deep Learning for Classification

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A image registration method using convolutional neural network features.

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Anomaly detection implemented in Keras

This is an open sourced book on deep learning.

Deep Learning Computer Vision Algorithms for Real-World Use

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Repository for most of the code from my YouTube channel

Dataset of images of trash; Torch-based CNN for garbage image classification

BCDU-Net : Medical Image Segmentation

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Keras tutorial for beginners (using TF backend)

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

A modern PyTorch implementation of SRGAN

Face landmarks(fiducial points) detection benchmark

A brand logo detection system using tensorflow object detection API.

Convolutional neural networks for artistic style transfer.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Simple and comprehensive tutorials in TensorFlow

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Implementation of State-of-the-art Text Classification Models in Pytorch

Velocity in deep-learning research

A best practice for tensorflow project template architecture.

Deep Convolutional Neural Networks for Musical Source Separation

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition