#

experimentation

Here are 141 public repositories matching this topic...

growthbook

growthbook / growthbook

Open

Add persistent sort order for features and experiments

Auz commented May 18, 2022

Currently when you sort the list of features (or experiments) it only kept for that session and not saved. We would like to persist this sort state to local storage.

Read more

enhancement good first issue

Open

Fix language for experiments in the future

Open

Make metric queries include current date

Find more good first issues

dotnet / corefxlab

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

c-sharp dotnet experimentation corefx

Updated Mar 11, 2021
C#

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.

control networking simulation emulation scalability tor scientific-computing experimentation realism science-research

Updated Jun 4, 2022
C

hyperparameter_hunter

HunterMcGushion / hyperparameter_hunter

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

python data-science machine-learning ai deep-learning neural-network optimization scikit-learn sklearn keras ml artificial-intelligence xgboost hyperparameter-optimization experimentation lightgbm feature-engineering hyperparameter-tuning catboost rgf

Updated Jan 20, 2021
Python

zalando / expan

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

python statistics statistical-analysis experimentation ab-testing abtesting causal-inference abtest

Updated Mar 31, 2021
Python

dpressel / mead-baseline

Deep-Learning Model Exploration and Development for NLP

nlp machine-learning deep-learning tensorflow keras transformers pytorch recurrent-neural-networks classification experimentation seq2seq baseline convolutional-neural-networks language-model hacktoberfest bert visdom deep-learning-architectures nlp-tasks

Updated May 27, 2022
Python

justeat / JustTweak

JustTweak is a feature flagging framework for iOS apps.

ios firebase experimentation experiments feature optimizely flagging

Updated May 16, 2022
Swift

pipelinex

Minyus / pipelinex

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

data-science machine-learning deep-learning pipeline data-engineering experimentation

Updated Dec 25, 2021
Python

eugeneyan / papermill-mlflow

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

python jupyter experimentation papermill mlflow

Updated Apr 7, 2022
Jupyter Notebook

tinkrmind / programmable-air

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

robotics hardware sensor pcb experimentation pressure soft inflatables

Updated Dec 11, 2018
C

mint-metrics / mojito

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

javascript r analytics knitr experimentation ab-testing mojito split-testing snowplow-analytics

Updated Sep 30, 2019

ukriish / shelf

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

go redis distributed-systems clojure postgresql experimentation org-mode knowledge-base

Updated Mar 28, 2020

georgian-io / hydra

Open

Allow for training even with uncommitted changes

coder46 commented Feb 7, 2021

Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.

Allow for training even with uncommitted changes. This can be done by taking a git diff of the current branch, storing it and then doing an git apply to the current branch during training

Read more

good first issue Medium

mab

stitchfix / mab

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

go golang data-science reinforcement-learning thompson-sampling experimentation multi-armed-bandits multi-armed-bandit thompson multiarmed-bandits

Updated Mar 16, 2021
Go

ai-in-motion / moai

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

computer-vision deep-learning neural-network data-driven reproducible-research cnn pytorch artificial-intelligence hydra vae experimentation convolutional-neural-networks human-pose-estimation reproducibility depth-estimation mdk object-pose-estimation vae-pytorch

Updated May 12, 2022
Python

UCY-LINC-LAB / fogify

A Fog Computing Emulation Framework

jupyter experimentation fog-computing edge-computing fog-topology

Updated Apr 29, 2022
SCSS

catseye / NaNoGenLab

Experiments conducted for NaNoGenMo 2014

generative-text experimentation experiments nanogenmo lab-equipment generated-novel

Updated Nov 5, 2019
Python

webis-de / ir_axioms

Open

More variants for embedding-based similarities

heinrichreimer commented Mar 2, 2022

The STMC1, STMC2, and REG axioms depend on similarities. It might be promising to have similarity variants that are based on word embeddings fine-tuned on test collections like Robust 04.
It is only required to have some word embeddings that PyMagnitude can handle, the rest is already implemented.

To implement new embedding variants, take a look at the fastText implementation here:
https://gi

Read more

enhancement good first issue

RelevanceAI / RelevanceAI

Experimentation-first vector database.

python search nlp search-engine clustering embeddings experimentation encodings vector-search vector-database experimentation-platform vector-search-engine vector-similarity-database embeddings-similarity compare-vectors

Updated Jun 6, 2022
Jupyter Notebook

vishal-keshav / fast_prototype

This is a machine learning framework that enables developers to iterate fast over different ML architecture designs.

platform research tensorflow prototyping experimentation machine-learning-api evaluation-framework

Updated Apr 20, 2020
Python

leodido / demo-cloud-native-ebpf-day

Sponsor

Various eBPF programs for tracing network connections

security auditing demo kernel attack tracing talk experimentation ebpf defense bpf enforcement tracepoints prevention lsm lsm-hooks

Updated Oct 26, 2021
C

splitio / android-client

Android SDK client for Split Software

android java feature-flags feature-toggles experimentation ab-testing

Updated May 30, 2022
Java

ofnote / lightex

A Flexible, Modular ML Experiment Framework

docker kubernetes machine-learning modular tensorflow pytorch experimentation storage-virtualization data-scientist visualizers expt-manager job-dispatcher

Updated Jan 22, 2020
Python

HPAC / ELAPS

Experimental Linear Algebra Performance Studies

performance high-performance-computing experimentation blas lapack

Updated Feb 24, 2017
Python

kaiwenliu / C-Sharp-Remote-Control-Program

💻This is a program that allows you to remotely run commands on your other computers.

c-sharp education visual-studio remote-control networking commands experimentation

Updated Jul 19, 2020
C#

Causal-Inference-Using-Quasi-Experimental-Methods

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

Causal Inference Using Quasi-Experimental Methods

experimental experimentation experiments causality causation causality-analysis causal-inference rdd synthetic-control causal its causal-models experimental-design causal-impact difference-in-differences regression-discontinuity-designs interrupted-time-series

Updated Jan 15, 2021

lukasvermeer / srm

This Chrome Extension automatically performs SRM checks and flags potential data quality issues on supported experimentation platforms.

chrome-extension statistics statistical-analysis experimentation ab-testing srm data-quality vwo visual-website-optimizer google-optimize sample-ratio-mismatch

Updated May 19, 2022
JavaScript

jonhoo / experiment

A tool for running concurrent multi-configuration experiments.

orchestration experimentation measurement

Updated Jul 10, 2017
Ruby

rigetti / paranormal

A declarative, parameter-parsing library that provides multiple parsing interfaces (YAML, command line, and JSON)

command-line experimentation control-systems parsing-library

Updated Jan 26, 2021
Python

Salmon-Brain / dead-salmon-brain

Apache Spark based framework for analysis A/B experiments

python java statistics scala spark apache-spark analytics experimentation ab-testing experiments abtesting split-testing

Updated May 15, 2022
Java

Improve this page

Add a description, image, and links to the experimentation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the experimentation topic, visit your repo's landing page and select "manage topics."