Topic: ml-experiments Goto Github
Some thing interesting about ml-experiments
Some thing interesting about ml-experiments
ml-experiments,ML Experimentation Platform
Organization: caraml-dev
ml-experiments,Contains code and slides for our talk at Cloud Next 2022: Better Hardware Provisioning for ML Experiments on GCP.
Organization: carted
Home Page: https://www.carted.com/blog/better-hardware-provisioning-for-ml-experiments
ml-experiments,A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.
User: gianatmaja
ml-experiments,An application of the WhizML codebase for an analysis of cardiovascular disease risk.
User: gianatmaja
ml-experiments,An application of the WhizML codebase for an analysis of Walmart weekly sales.
User: gianatmaja
ml-experiments,Docker for getting jax to work with cuda, for reproducing ml experiments like eicl. Sure, let's NOT make a compatibility matrix and let people fight for their lives on cuda
User: iglee
ml-experiments,Unsorted Playground for Machine Learning, Reinforcement Learning and other AI Experiments
User: sy2002
ml-experiments,2 Lines of code to track ML experiments + EDA + check into Github
Organization: vevesta
Home Page: https://vevesta.com
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.