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abstractive-summarization

Implementation of abstractive summarization using LSTM with Residual Recurrent Attention in the encoder-decoder architecture with local attention.

akcarsten.github.io

github page

autokeras

Accessible AutoML for deep learning.

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-neuroscience

A curated list of awesome neuroscience libraries, software and any content related to the domain.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-text-summarization

A curated list of resources dedicated to text summarization

bdtoolkit

The Brain Dynamics Toolbox

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brain-tumor-segmentation-using-deep-neural-networks

Keras implementation of paper by the same name

chatbot

Python chatbot 💬

coursera-deeplearning.ai-sequence-models-course-5

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

data-science-at-the-command-line

Data Science at the Command Line

dataanalysisbyexample

Medium Blog

deep-learning

Resources of deep learning courses by Andrew Ng

deep-learning-for-neuroscientists

Deep Learning Tutorial for Neuroscientists (using Keras and Tensorflow), created for the Methods in Computational Neuroscience Course of the Marine Biology Lab with Robert Yang (2018)

deep-learning-illustrated

Deep Learning Illustrated (2019)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning

Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning

deep_learning_fmri

Implementation of deep learning models in decoding fMRI data in a context of semantic processing

deeplearningteam

Applications of Deep Learning in Neuroscience

diffeo-segment

Diffeomorphic group-wise registration and segmentation

docbook

Sample code and Vagrant files for O'Reilly Docker cookbook

easyesn

Python library for Reservoir Computing using Echo State Networks

emergent

This is the new version of the emergent neural network simulation software, written now in Go (golang)

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

ernie-1

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"