Showing 2541-2560 of 3,069 projects
This Ruby library provides taint and required checking for Action Pack and enforcement in Active Model.
Identify app models with a URI, a cross-platform library for Ruby applications.
A comprehensive survey on knowledge distillation techniques for large language models.
An official MCP server implementation for the Qdrant vector search platform, enabling AI coding tools integrations.
A CLI text-to-speech tool using the Kokoro model, supporting multiple languages and input formats.
A Python library that aligns the full diffusion trajectory with human preferences for fine-grained control of AI models.
This GitHub repository appears to be a framework or library for training AI models to follow instructions provided by humans.
A comprehensive survey of efficient large language models for AI and machine learning systems.
A modular framework for generating 3D models and beyond, built with Python.
A Home Assistant integration and model to control your smart home using a local large language model.
Neural model for converting Image-to-Markup, a useful tool for developers building AI-powered applications.
A curated list of attention modules and plug-and-play modules for computer vision in Python.
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
This codebase demonstrates how to synthesize realistic 3D character animations from speech input and a static mesh.
AgentEvolver is a Python library for building self-evolving agent systems powered by large language models and reinforcement learning.
DriveLM is a graph visual question answering model for autonomous driving tasks, built using large language models.
A large-scale image-text dataset for training AI models, primarily focused on visual AI and multimodal AI tasks.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation using PyTorch.
Appyx is a Kotlin multiplatform library that provides model-driven navigation and UI components with gesture control for Compose.
Matcha-TTS is a fast and efficient text-to-speech (TTS) architecture using a conditional flow matching approach.
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