Showing 2461-2480 of 3,069 projects
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
A state-of-the-art pretrained language model for proteins, enabling advanced AI-powered protein analysis.
Tools for training and deploying reinforcement learning models on the Unitree Go1 robot in a sim-to-real setting.
A UI tool to make training LoRA/LoCon and other LoRA models in Stable Diffusion scripts easy for vibe coders.
An extension for Stable Diffusion web UI that performs inpainting using Segment Anything model.
Basaran is an open-source alternative to the OpenAI text completion API, providing a compatible streaming API for Hugging Face Transformers-based text generation models.
A Python library for modeling dynamic urban scenes using Gaussian splatting, useful for computer vision tasks.
Control Android phones programmatically using Qwen3-VL vision model for UI automation and device interaction.
The official Swift SDK for Model Context Protocol servers and clients, enabling AI-powered coding tools.
A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.
A plugin for IDA that can help analyze binary files using AI models like OpenAI and DeepSeek.
A simple MVI (Model-View-Intent) framework for Kotlin Multiplatform and Android development.
This is an AI-powered medical coding tool that leverages large language models for complex reasoning.
Hopsworks is a feature store and MLOps platform for data-intensive AI and machine learning applications.
A JavaScript library that helps developers interface with Large Language Models (LLMs) and AI tools like OpenAI.
Official repository for NeuMan, a neural human radiance field model from a single video.
A Node.js server that provides read-only access to MySQL databases for language models to inspect schemas and execute queries.
A collection of demo projects for running machine learning models on iOS using CoreML, TensorFlow Lite, and ML Kit.
A Python toolbox for building interpretable machine learning models and diagnostics.
A comprehensive list of papers on World Models, a technique for general video generation, embodied AI, and autonomous driving.
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