Topic: experimentation Goto Github
Some thing interesting about experimentation
Some thing interesting about experimentation
experimentation,Blueprint Microservices Compiler: Flexible and Configurable Open-Source Microservice Benchmark Applications
Organization: blueprint-uservices
Home Page: https://blueprint-uservices.github.io
experimentation,Experiments conducted for NaNoGenMo 2014
Organization: catseye
Home Page: https://github.com/catseye/NaNoGenLab#nanogenlab
experimentation,๊ฐ์ง์ฐ๊ตฌ์ ์ธ๊ณผ์ถ๋ก ํ ๋ธ๋ก๊ทธ์ ๋๋ค!
Organization: causalinferencelab
Home Page: https://causalinferencelab.github.io/
experimentation,์คํ ํ๋ซํผ์ ๋ํ ์๋ฃ๋ฅผ ์ ๋ฆฌํ ์ ์ฅ์์ ๋๋ค.
Organization: causalinferencelab
experimentation,Pythonโs delightfully modular experiment tracker for MLOps
Organization: cubyc-dev
Home Page: https://docs.cubyc.com
experimentation,Track and Collaborate on ML & AI Experiments.
User: elehcimd
Home Page: https://www.mltraq.com
experimentation,๐งช Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
User: eugeneyan
Home Page: https://eugeneyan.com/writing/experimentation-workflow-with-jupyter-papermill-mlflow/
experimentation,A feature flags service written in .NET
Organization: featbit
Home Page: https://www.featbit.co/
experimentation,Feature flags, experiments, and remote config management with version control
Organization: featurevisor
Home Page: https://featurevisor.com
experimentation,A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
Organization: georgian-io-archive
experimentation,This python project is a helper package that uses power analysis to calculate required sample size for any experiment
Organization: godaddy
experimentation,Transparent, robust and trustworthy A/B experimentation for Shopping feeds.
Organization: google-marketing-solutions
experimentation,Open Source Feature Flagging and A/B Testing Platform
Organization: growthbook
Home Page: https://www.growthbook.io
experimentation,Experimental Linear Algebra Performance Studies
Organization: hpac
Home Page: http://hpac.rwth-aachen.de/~peise/elaps/
experimentation,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
experimentation,JustTweak is a feature flagging framework for iOS apps.
Organization: justeat
Home Page: https://tech.justeattakeaway.com/
experimentation,๐ปThis is a program that allows you to remotely run commands on your other computers.
User: kaiwenliu
experimentation,Causal Inference Using Quasi-Experimental Methods
User: leihuaye
experimentation,Various eBPF programs for tracing network connections
User: leodido
experimentation,This Chrome Extension automatically performs SRM checks and flags potential data quality issues on supported experimentation platforms.
User: lukasvermeer
Home Page: https://lukasvermeer.nl/srm/
experimentation,Deep-Learning Model Exploration and Development for NLP
Organization: mead-ml
experimentation,LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
Organization: microsoft
experimentation,๐งช Source-controlled split testing stack for building, launching and analysing A/B tests.
Organization: mint-metrics
Home Page: https://mojito.mx
experimentation,๐งช Source-controlled JS split testing framework for building and launching A/B tests.
Organization: mint-metrics
Home Page: https://mojito.mx/docs/js-delivery-intro
experimentation,PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
User: minyus
Home Page: https://pipelinex.readthedocs.io/
experimentation,moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Organization: moverseai
Home Page: https://moai.readthedocs.io
experimentation,A Flexible, Modular ML Experiment Framework
Organization: ofnote
experimentation,Official Omnitool repository
Organization: omnitool-ai
experimentation,Official PostHog Go library
Organization: posthog
experimentation,Official PostHog Node library
Organization: posthog
experimentation,A declarative, parameter-parsing library that provides multiple parsing interfaces (YAML, command line, and JSON)
Organization: rigetti
experimentation,Learning happens in the lab, not the lecture hall. This repo contains various different coding and technical lab experiments, exercises, and explorations. I refer to these during Beginner Boost a lot.
User: rwxrob
experimentation,Tool for the automatic orchestration of experiments targeting software systems
Organization: s2-group
experimentation,Documentation website for Samelogic Platform, APIs, and SDKs
Organization: samelogic
experimentation,Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
Organization: shadow
Home Page: https://shadow.github.io
experimentation,Open Source version of SigOpt API, performing hyperparameter optimization and visualization
Organization: sigopt
Home Page: https://sigopt.org
experimentation,Android SDK client for Split Software
Organization: splitio
Home Page: https://split.io
experimentation,Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
Organization: stitchfix
experimentation,GO Feature Flag is a simple, complete and lightweight self-hosted feature flag solution 100% Open Source. ๐๏ธ
User: thomaspoignant
Home Page: https://gofeatureflag.org/
experimentation,Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
User: thomasweise
Home Page: https://thomasweise.github.io/moptipy/
experimentation,A hardware kit to experiment with inflatable and vacuum based soft robotics.
User: tinkrmind
experimentation,Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
User: tysam-code
Home Page: https://twitter.com/hi_tysam
experimentation,A Fog Computing Emulation Framework
Organization: ucy-linc-lab
experimentation,A list of self curated blogposts, videos and exercises on various technologies that I find interesting
User: ukriish
experimentation,Unleash SDK for Next.js
Organization: unleash
experimentation,UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
Organization: uptrain-ai
Home Page: https://uptrain.ai/
experimentation,This is a machine learning framework that enables developers to iterate fast over different ML architecture designs.
User: vishal-keshav
experimentation,โ๏ธ Intuitive axiomatic retrieval experimentation.
Organization: webis-de
Home Page: https://pypi.org/project/ir_axioms/
experimentation, Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Organization: zalando
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.