Experiments Open Source Projects

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

Open-source feature management platform

An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

A curated list about Audio Visualization.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Implementation and experiments of graph embedding algorithms.

Progressive Delivery for Kubernetes

Adaptive Experimentation Platform

A collection of experiments for exploring how music works, all built with the Web Audio API.

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Reinforcement Learning in PyTorch

The implementation of DeBERTa

An open source library and framework for deep learning on satellite and aerial imagery.

a library to create multi device experiments

GO Feature Flag is a simple, complete and lightweight self-hosted cloud native feature flag solution 100% Open Source — built on OpenFeature 🎛️

For running psychology and neuroscience experiments

💯 A collection of Gleam libraries, projects, and resources

Chaos Engineering Toolkit & Orchestration for Developers

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Machine Learning in R

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

PSLab Case https://pslab.io

PSLab for ExpEYES - Science Experiments and Data Acquisition for Physics Education https://pslab.io

A .NET library for carefully refactoring critical paths. It's a port of GitHub's Ruby Scientist library

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

PSLab Bootloader https://pslab.io

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Experiments with Deep Learning

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

Repo for ASP.NET experiments that are not ready for a production release

Heterogeneous Graph Neural Network

Create behavioral experiments in a browser using JavaScript

Videos, notes and experiments to understand deep learning

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Wasabi A/B Testing service is an open source project that is no longer under active development or being supported

This repository contains vczh's toys for black magic codes or experiments

Experiments and proposals for gRPC features.

Experimental projects we've done with DepthAI.

A Kitti Road Segmentation model implemented in tensorflow.

Resources for inspiration, lists of software, libraries and other stuff related to Motion UI design, animations and transitions.

Kernel Point Convolution implemented in PyTorch

Processing sketches, in which I have worked in the last years; images, videos, prototypes, experiments, tools, works, concepts... Everything is unfinished, some may not work, When I had no ideas, I would open one to see what it was...

Set of experiments and extensions to THREE.js.

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Light-Head R-CNN

Feature flags, experiments, and remote config management with version control

Experiments towards neural network theorem proving

Implementation related to the Deep Complex Networks

Neural relational inference for interacting systems - pytorch

an open-source, cross-platform toolbox for minimal-effort programming of eye tracking experiments

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

Scientific measurement library for instruments, experiments, and live-plotting

Run experiments across parts of the Rust ecosystem!

Open Machine Learning

Python library to easily log experiments and parallelize hyperparameter search for neural networks

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723