Open Source Feature Flagging and A/B Testing Platform
#计算机科学#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 ro...
GO Feature Flag is a simple, complete and lightweight self-hosted feature flag solution 100% Open Source. 🎛️
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 s...
Enterprise-grade feature flag platform that you can self-host. Get started - free.
This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
#计算机科学#Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
#计算机科学#Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Feature flags, experiments, and remote config management with version control
Official Omnitool repository
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
#大语言模型#GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Manage...
#自然语言处理#Deep-Learning Model Exploration and Development for NLP
#计算机科学#PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
#IOS#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.
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
#计算机科学#moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.