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models

Models built with TensorFlow

mpage

Shows synchronized pages of a file in multiple windows

nbviewer

Nbconvert as a webservice (rendering ipynb to static HTML)

nlc

Neural Language Correction implemented on Tensorflow

nlp

nuclide-remote

nuclide-remote in a Docker container

openchatkit

opennmt

Open-Source Neural Machine Translation in Torch

oracle_cb

Experimentation for oracle based contextual bandit algorithms.

pandas_snippets

papers

pdftotree

:evergreen_tree: A tool for parsing PDF documents into a heirarchical, HTML-like tree.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

pyphi

A Python library for computing integrated information.

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

pyxley

Python helpers for building dashboards using Flask and React

queryreformulator

questions

Simple application for storing interview questions.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

redis-py

Redis Python Client

remark

A simple, in-browser, markdown-driven slideshow tool.

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

scikit-learn

scikit-learn: machine learning in Python

sentimentapi

A fast python scikit-learn text sentiment API server.

sequence-semantic-embedding

snorkel

A system for quickly generating training data with weak supervision

spark

spark-experiments

Repo with sources for Spark blog posts and learning experiments in Spark

spark-hash

Locality Sensitive Hashing for Apache Spark