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omic-features-successful-targets

Data and code supporting "Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets" by Andrew D. Rouillard, Mark R. Hurle, and Pankaj Agarwal. https://doi.org/10.1371/journal.pcbi.1006142.

optimus

Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN

personal

Contains Jupiter Notebooks of stuff I am working on.

pokebase

Python 2 & 3 wrapper for Pokéapi v2

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pycon-nlp-in-10-lines

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

semantic-search

Semantic search for images and words using neural networks.

seqid

Identification of Bona Fide DNA Sequences with Deep Learning

skorch

A scikit-learn compatible neural network library that wraps pytorch

solvingalmostanythingwithbert

BioBert Pytorch

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spark-nlp

Natural Language Understanding Library for Apache Spark.

strata-conference-ca-2018

environment setup for strata conference 2018

strata_2018_dl_4_nlp

Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing

talos

Hyperparameter Optimization for Keras Models

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

test

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

tf-serving-k8s-tutorial

A Tutorial for Serving Tensorflow Models using Kubernetes

tf-tutorial

Short tutorial for TensorFlow, designed to be presented in-person

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

twitterner

Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html

umap_nonlinear-dimensionality-reduction_benchmark

A primer to Uniform Manifold Approximation and Projection (UMAP)

word2vec-sentiments

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

zoomdata-tools

Tools for management, administration, and tuning of Zoomdata deployments