Pinned Repositories
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
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)
pfbalan's Repositories
pfbalan/autokeras
Accessible AutoML for deep learning.
pfbalan/bdtoolkit
The Brain Dynamics Toolbox
pfbalan/data-science-at-the-command-line
Data Science at the Command Line
pfbalan/DataAnalysisByExample
Medium Blog
pfbalan/deep-learning-illustrated
Deep Learning Illustrated (2019)
pfbalan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pfbalan/diffeo-segment
Diffeomorphic group-wise registration and segmentation
pfbalan/emergent
This is the new version of the emergent neural network simulation software, written now in Go (golang)
pfbalan/enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
pfbalan/ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
pfbalan/ERNIE-1
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
pfbalan/free-programming-books
:books: Freely available programming books
pfbalan/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
pfbalan/gradunwarp
Gradient Unwarping in Python
pfbalan/jupyter
Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks
pfbalan/Medical-image-registration-Resources
Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes
pfbalan/nengo
A Python library for creating and simulating large-scale brain models
pfbalan/nengo-gui
Nengo interactive visualizer
pfbalan/NHPPipelines
Enhancements of HCP Pipelines for non-human primates
pfbalan/OUCML
pfbalan/Projects
Code Samples
pfbalan/Reservoir-Computing-framework-for-multivariate-time-series-classification
Library for implementing multivariate time series classifiers based on reservoir computing (echo state network)
pfbalan/RheMAP
Warps between some of the most used Rhesus Macaque Brain Templates.
pfbalan/roboschool
Open-source software for robot simulation, integrated with OpenAI Gym.
pfbalan/TemplateBuildingExample
Just when I thought you couldn’t possibly be any dumber, you go and do something like this… and totally redeem yourself!
pfbalan/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
pfbalan/trax
Trax — your path to advanced deep learning
pfbalan/v1_predictor
Using deep learning to reveal the neural code for images in primary visual cortex
pfbalan/vagrant-boxes
Vagrant builds for Oracle products and other examples
pfbalan/workbench
Connectome Workbench