Explore live open-source projects and AI models.

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

A continuation of the Cats Blender Plugin which is tool designed to shorten steps needed to import and optimize models into VRChat. Compatible models are: MMD, XNALara, Mixamo, DAZ/Poser, Blender Rigify, Sims 2, Motion Builder, 3DS Max and potentially more, originally by absolute-quantum.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

AI Prompt Optimization Platform is a professional prompt engineering tool designed to help users optimize AI model prompts, enhancing the effectiveness and accuracy of AI interactions. The platform integrates intelligent optimization algorithms, deep reasoning analysis, visualization debugging to... Read more

official code for "Large Language Models as Optimizers"

Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

Code for "Diffusion Model Alignment Using Direct Preference Optimization"