experimentation

Open Source Feature Flagging and A/B Testing Platform

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

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.

Train to 94% on CIFAR-10 in ~6.84 seconds on a single A100, the current world speed record. Or ~95.78% in ~114 seconds (or less!)

A scalable, fast and 100% open-source feature flag tool written in C# .NET

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

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

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

Deep-Learning Model Exploration and Development for NLP

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

Git-based feature flags and experimentation management solution for developers

JustTweak is a feature flagging framework for iOS apps.

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

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

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

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

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

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

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

Documentation website for Samelogic Platform, APIs, and SDKs