Justin Reppert (reppertj)

reppertj

Geek Repo

Company:Elicit

Location:Austin, TX

Home Page:https://www.justinreppert.com/

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Organizations
elicit
oughtinc
recursecenter

Justin Reppert's starred repositories

coc.nvim

Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.

Language:TypeScriptLicense:NOASSERTIONStargazers:24364Issues:127Issues:3385

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cortex

Production infrastructure for machine learning at scale

Language:GoLicense:Apache-2.0Stargazers:8020Issues:145Issues:1100

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

Language:PythonLicense:Apache-2.0Stargazers:4736Issues:87Issues:503

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:4210Issues:43Issues:1358

quiver

A modern commutative diagram editor for the web.

Language:JavaScriptLicense:MITStargazers:2406Issues:26Issues:223

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

Language:PythonLicense:MITStargazers:2227Issues:58Issues:187

datapane

Build and share data reports in 100% Python

Language:PythonLicense:Apache-2.0Stargazers:1376Issues:19Issues:112

torchlayers

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

Language:PythonLicense:MITStargazers:568Issues:12Issues:15

riptable

64bit multithreaded python data analytics tools for numpy arrays and datasets

Language:PythonLicense:NOASSERTIONStargazers:366Issues:15Issues:197

simple_mf

Simple but Flexible Recommendation Engine in PyTorch

Language:Jupyter NotebookLicense:MITStargazers:131Issues:9Issues:5

SEMNET

Semantic Network for Quantum Physics

Language:MATLABLicense:Apache-2.0Stargazers:34Issues:6Issues:4

philosophy_classification_project

This repo contains NLP work on a corpus of texts from the history of philosophy. We explore the data and develop a classification model that attains about 80% accuracy.

Language:Jupyter NotebookStargazers:2Issues:2Issues:0