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awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

bag-popcorn

My submission for the Kaggle challenge "When bag of words meets bags of popcorn"

box-plots-sklearn

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

brown-cluster

C++ implementation of the Brown word clustering algorithm.

bytenet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

camelot

Camelot: PDF Table Extraction for Humans

char-models

Character level models for sentiment analysis

cheto

CheTo - Chemical Topic Modeling

cliner

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

cnn_sentence

CNNs for sentence classification

datasample

Folder for Data

deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Theano, Tensorflow, models and data

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deepchem-workshop

DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials

deepcrispr

deeplearning-biology

A list of deep learning implementations in biology

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

dna2vec

dna2vec: Consistent vector representations of variable-length k-mers

dnaconvnet-notebook

Jupyter notebook for the application of convolutional neural nets to toy DNA sequence data

fastai

The fastai deep learning library, plus lessons and and tutorials

fasttext

Library for fast text representation and classification.

generating-and-designing-dna

Code for the paper "Generating and designing DNA with deep generative models" (arXiv:1712.06148)

gensim

Topic Modelling for Humans

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

ml-examples

Examples of machine learning, with an emphasis on deep learning.

mol2vec_notebooks

Mol2vec notebooks for use with Binder service

mtl-bioinformatics-2016

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

ocrmypdf

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

ocropy

Python-based tools for document analysis and OCR