experimentation

There are 203 repositories under experimentation topic.

  • growthbook

    growthbook/growthbook

    Open Source Feature Flagging and A/B Testing Platform

    Language:TypeScript5.7k30763454

  • uptrain-ai/uptrain

    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.

    Language:Python2.1k20135171

  • dotnet/corefxlab

    This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.

    Language:C#1.5k294791348

  • shadow/shadow

    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.

    Language:Rust1.4k51905237

  • featbit/featbit

    A feature flags service written in .NET

    Language:C#1.4k1811485

  • tysam-code/hlb-CIFAR10

    Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

    Language:Python1.2k20372
  • go-feature-flag

    thomaspoignant/go-feature-flag

    GO Feature Flag is a simple, complete and lightweight self-hosted feature flag solution 100% Open Source. 🎛️

    Language:Go1.1k7209114
  • hyperparameter_hunter

    HunterMcGushion/hyperparameter_hunter

    Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

    Language:Python70224116103

  • featurevisor/featurevisor

    Feature flags, experiments, and remote config management with GitOps

    Language:TypeScript52747227

  • zalando/expan

    Open-source Python library for statistical analysis of randomised control trials (A/B tests)

    Language:Python330277449

  • mead-ml/mead-baseline

    Deep-Learning Model Exploration and Development for NLP

    Language:Python243206873
  • pipelinex

    Minyus/pipelinex

    PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

    Language:Python22161311

  • justeat/JustTweak

    JustTweak is a feature flagging framework for iOS apps.

    Language:Swift20310630

  • microsoft/llmops-promptflow-template

    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.

    Language:Python1891721161

  • eugeneyan/papermill-mlflow

    🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

    Language:Jupyter Notebook1714035

  • omnitool-ai/omnitool

    Official Omnitool repository

    Language:TypeScript117627

  • mint-metrics/mojito

    🧪 Source-controlled split testing stack for building, launching and analysing A/B tests.

    64635

  • tinkrmind/programmable-air

    A hardware kit to experiment with inflatable and vacuum based soft robotics.

    Language:C5912611

  • moverseai/moai

    moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

    Language:Python51815
  • mab

    stitchfix/mab

    Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.

    Language:Go49826

  • ukriish/shelf

    A list of self curated blogposts, videos and exercises on various technologies that I find interesting

    45601

  • georgian-io-archive/hydra

    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

    Language:HCL4115574

  • elehcimd/mltraq

    Track and Collaborate on AI Experiments.

    Language:Jupyter Notebook351

  • sigopt/sigopt-server

    Open Source version of SigOpt API, performing hyperparameter optimization and visualization

    Language:Python33325

  • google-marketing-solutions/feedx

    Transparent, robust and trustworthy A/B experimentation for Shopping feeds.

    Language:Jupyter Notebook292

  • samelogic/docs

    Documentation website for Samelogic Platform, APIs, and SDKs

    Language:JavaScript29320

  • leodido/demo-cloud-native-ebpf-day

    Various eBPF programs for tracing network connections

    Language:C28417

  • UCY-LINC-LAB/fogify

    A Fog Computing Emulation Framework

    Language:SCSS278128

  • catseye/NaNoGenLab

    Experiments conducted for NaNoGenMo 2014

    Language:Python24612

  • rwxrob/lab

    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.

    Language:Shell24424

  • Unleash/unleash-client-nextjs

    Unleash SDK for Next.js

    Language:TypeScript245197

  • PostHog/posthog-node

    Official PostHog Node library

    2172619

  • webis-de/ir_axioms

    ↕️ Intuitive axiomatic retrieval experimentation.

    Language:Python2123101

  • CausalInferenceLab/CausalInferenceLab.github.io

    가짜연구소 인과추론팀 블로그입니다!

    Language:HTML201012
  • Causal-Inference-Using-Quasi-Experimental-Methods

    LeihuaYe/Causal-Inference-Using-Quasi-Experimental-Methods

    Causal Inference Using Quasi-Experimental Methods

    193010

  • thomasWeise/moptipy

    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.

    Language:Python19302