Popular GitHub Repositories for Experimental Paradigm

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

?? 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

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.

[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

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.

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

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

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

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

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

An experimental platform for federated learning.

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

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.

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