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

Machine Reading Comprehension in Tensorflow

videos, lectures, blogs for Deep Learning

Text Classification Algorithms: A Survey

Outdated, see new https://github.com/braindecode/braindecode

Deep learning codes and projects using Python

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

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 Networks; (v) Sequence Models

This is an open sourced book on deep learning.

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.

TensorFlow Tutorials

TensorFlow and Deep Learning Tutorials

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Image Captioning: Implementing the Neural Image Caption Generator with python

EEG Sleep stage classification using CNN with Keras

Biologically-realistic recurrent convolutional neural networks

Text classifier for Hierarchical Attention Networks for Document Classification

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

HDLTex: Hierarchical Deep Learning for Text Classification

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A curated list of dedicated resources and applications

Simple and comprehensive tutorials in TensorFlow

Deep-Learning Model Exploration and Development for NLP

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

PyTorch tutorial for learners

RMDL: Random Multimodel Deep Learning for Classification

keras project that parses and analyze english resumes

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

VIP cheatsheets for Stanford's CS 230 Deep Learning

Deep learning for price movement prediction using high frequency limit order data

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

The Official Deep Learning Framework for Route-based Place Recognition

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

ECG classification programs based on ML/DL methods

A Neural Networking library based on NumPy only

Anomaly detection implemented in Keras

Top 200 deep learning Github repositories sorted by the number of stars.

R interface to the keras library

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

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

Deep Convolutional Neural Networks for Musical Source Separation

A light-weight, power efficient, and general purpose convolutional neural network

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

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

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

Vehicle detection using YOLO in Keras runs at 21FPS

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Keras tutorial for beginners (using TF backend)

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

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