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Data and code behind the stories and interactives at FiveThirtyEight
week-by-week aiap curriculum
Materials for AIAP 2.0 Week of unsupervised learning
Filled version of AIAP batch 2 notebooks for Week 3
📚 Curated papers, articles & videos on data science & machine learning applied in production, with results.
Mapping a variable-length sentence to a fixed-length vector using BERT model
A lightning fast Finite State machine and REgular expression manipulation library.
toolkit for building custom corpuses from Common Crawl data
Minimalist project template for reproducible machine learning a la https://drivendata.github.io/cookiecutter-data-science/ and https://blog.mariokrapp.com/Cookiecutter_for_a_more_transparent_and_reproducible_science.html
Examples for D3.js in Action 2nd Edition (D3v4)
Dask tutorial
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
Dbdemos notebook source as packaged in dbdemos toolkit
Public repo to host notebook images within our demos
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
High level Python client for Elasticsearch
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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.