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A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with optional plotting routines.
Hierarchical graph clustering
Fast, light, robust Ethereum implementation
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Self-hosted Localization Management Platform built with Go and Angular 2
RNN-based generative models for speech.
The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. https://www2.cs.fau.de/EN/research/zold/ParSeMiS/index.html
A natural language semantic parser
Transforms PDF, Documents and Images into Enriched Structured Data
Partial information decomposition with redundancy measured as common change in surprisal (Iccs)
Join the Party Parrot
Simple, realtime visualization of neural network training performance.
Data and code for Kang et al., EMNLP 2019's paper titled "(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas"
Transforms literary/philosophical texts into patent applications
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Implementation of PathNet in Pytorch - on MNIST task
PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
"Pattern" sub-project for Cascading, which uses Cascading flows as containers for machine learning models, importing PMML model descriptions from R, SAS, KNIME, Weka, RapidMiner, etc.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
OpenAI-powered search & chat on all of Paul Graham’s essays.
Reinforcement learning using Markov Decision Processes
Unsupervised learning and generative models in python/pytorch.
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
Point cloud importer & renderer for Unity
PDF Reader in JavaScript
Command line tool to extract figures, tables, and captions from scholarly documents in PDF form.
PdfJs-Annotator is a proof of concept project that integrates AnnotatorJs (http://annotatorjs.org/) with the PdfJs (https://mozilla.github.io/pdf.js/) library. It uses a simple Spring Boot application and a MySql database containing one table in the backend to persist annotations. MIT License applies (http://opensource.org/licenses/MIT).
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.