Popular GitHub Repositories for Behavioral Sciences

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Official implementation of Implicit Behavioral Cloning, as described in our CoRL 2021 paper, see more at https://implicitbc.github.io/

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Japanese (Riichi) Mahjong AI Framework

Be Driven ?

Gaussian Processes for Experimental Sciences

?[ICLR'25] LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Utility for behavioral and representational analyses of Language Models

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

Official codebase for Sirius: Robot Learning on the Job

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning" (SCIENCE CHINA Information Sciences).