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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.
Train, evaluate and deploy Deep Learning based text classifiers. Currently supports CNN
Contains Jupiter Notebooks of stuff I am working on.
Python 2 & 3 wrapper for Pokéapi v2
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.
Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code
Semantic search for images and words using neural networks.
Identification of Bona Fide DNA Sequences with Deep Learning
A scikit-learn compatible neural network library that wraps pytorch
BioBert Pytorch
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
Natural Language Understanding Library for Apache Spark.
environment setup for strata conference 2018
Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing
Hyperparameter Optimization for Keras Models
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Dynamic seq2seq in TensorFlow, step by step
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.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A Tutorial for Serving Tensorflow Models using Kubernetes
Short tutorial for TensorFlow, designed to be presented in-person
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html
A primer to Uniform Manifold Approximation and Projection (UMAP)
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
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
Tools for management, administration, and tuning of Zoomdata deployments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.