703 Open source projects that are alternatives of or similar to Eeglearn

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

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

Keras tutorial for beginners (using TF backend)

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

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

Vehicle detection using YOLO in Keras runs at 21FPS

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

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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

A image registration method using convolutional neural network features.

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

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

[CVPR2020] GhostNet: More Features from Cheap Operations

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

Reinforcement Learning for Portfolio Management

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

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

Velocity in deep-learning research

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

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

tensorflow implementation of Grad-CAM (CNN visualization)

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Face landmarks(fiducial points) detection benchmark

Keras implementation of Non-local Neural Networks

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Building Convolutional Neural Networks From Scratch using NumPy

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

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

🥕 Evolutionary Neural Networks in JavaScript

Machine learning models for time series analysis

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

Machine learning algorithms for many-body quantum systems

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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

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)

Neural Network for HFT-trading [experimental]

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

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

Fusion ICA Toolbox (MATLAB)

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Efficient Learning of Augmentation Policy Schedules

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Convolutional neural networks for artistic style transfer.

Computer-generated poetry

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

A best practice for tensorflow project template architecture.

Neural networks library for machine learning on PHP

Open Source Photometric classification https://supernnova.readthedocs.io

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

Keras- Multi Label Image Classification

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

Lightweight C++11 library for building deep recurrent neural networks

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PyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis