🦔 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.

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Modular data acquisition framework

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Dashboard for sacred. Monitor and access your past machine learning experiments.

silx toolkit

TensorFlow implementation of Conversation Models

a lightweight and simple logger for Machine Learning

LLM-powered agents for scientific research automation

MyPTV is an open source library designed for 3D particle Tracking (3D-PTV) measurements

A Python Module for Creating Experiments, Tasks and Questionnaires.

Database for experimental neuroscience laboratories

Adaptive Design Optimization for Experimental Tasks

ABacus: fast hypothesis testing and experiment design solution

Python package for laboratory instruments control and scientific experiments automation

Agent skills for Arize — datasets, experiments, and traces via the ax CLI

software to generate a reproducible container with a battery of experiments

The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.

Python framework for automatically executing measurement-based experiments on native and web apps running on Android devices