bmabey

pyLDAvis

Python library for interactive topic model visualization. Port of the R LDAvis package.

provenance

Provenance and caching library for python functions, built for creating lightweight machine learning pipelines

clj-airbrake

Clojure client for the Airbrake API

hacker_news_topic_modelling

Topic models (just LDA for now) on the Hacker News corpus

dask-funk

Plumatic 'graph' in python using dask!

clj-campfire

Thin clojure wrappers for Campfire's API

monocle

A simple data capture app using the Kinect, based on Smithers

db.py

db.py is an easier way to interact with your databases

albumentations

fast image augmentation library and easy to use wrapper around other libraries

body-comp-data

CareKit

CareKit is an open source software framework for creating apps that help people better understand and manage their health.

circles-sines-signals

A Compact Primer on Digital Signal Processing

dirichlet-processes

Automatically exported from code.google.com/p/dirichlet-processes

document_cluster

A guide to document clustering in Python

dotfiles

My OS X / Ubuntu dotfiles.

hikari-cp

A Clojure wrapper to HikariCP JDBC connection pool

joblib

Python function as pipeline jobs.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

kerosene

Clean Burning Fuel

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

LDAvis

models

Models built with TensorFlow

nbviewer

Nbconvert as a webservice (rendering ipynb to static HTML)

nippy

High-performance serialization library for Clojure

PigPen

Map-Reduce for Clojure

pyarrow-feedstock

A conda-smithy repository for pyarrow.

rook

Sane, smart, fast, Clojure web services

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

tensorflow

Computation using data flow graphs for scalable machine learning