Popular GitHub Repositories for Experimental Economics

Investment Research for Everyone, Everywhere.

?? ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation

A concise but complete full-attention transformer with a set of promising experimental features from various papers

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

Experimental toolkit for auto-generating codebase documentation using LLMs

? Experimental library for scraping websites using OpenAI's GPT API.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

A concise but complete implementation of CLIP with various experimental improvements from recent papers

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

An experimental platform for federated learning.

MemoryCache is an experimental development project to turn a local desktop environment into an on-device AI agent

An Integrated Experimental Platform for time series data anomaly detection.

Awesome papers involving LLMs in Social Science.

AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

Experimental keras implementation of novel neural network structures

Bayesian Optimization and Design of Experiments

Experimental ground for optimizing memory of pytorch models