Showing 361-380 of 3,069 projects
The ultimate toolkit for finetuning diffusion models, a key component of AI-powered coding tools.
A PyTorch implementation of the Transformer model, a popular deep learning architecture for natural language processing.
Continuously updated machine learning and deep learning notes and demos by a dedicated researcher.
The AWS Serverless Application Model (AWS SAM) transforms SAM templates into CloudFormation templates for building serverless applications.
A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration.
An open-source ChatGPT-like chatbot powered by the RWKV language model, a 100% RNN-based system.
A powerful Bayesian modeling and probabilistic programming library for Python developers.
A collection of tips and tricks for working with Large Language Models like OpenAI's GPT-4.
An implementation of the YOLOv9 object detection model, a state-of-the-art computer vision AI.
A comprehensive CLI tool for using large language models (LLMs) like OpenAI, Claude, and more for various AI-powered tasks.
A JavaScript-based BPMN 2.0 rendering toolkit and web modeler for building business process applications.
A collection of pre-trained, state-of-the-art AI models in the ONNX format for developers to use in their projects.
golearn is a Go library for machine learning, providing a simple and extensible API for building ML models.
A Python library for generating high-quality videos from text and images using diffusion models.
A tiny vision language model for developers building AI-powered applications.
A Python library for running large language models on a single GPU for high-throughput scenarios.
mcp-use is a framework for interacting with MCP servers, providing custom agents and tools for AI developers.
Easy-to-use image segmentation library with pre-trained models for tasks like semantic, panoptic, and 3D segmentation.
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
A neural network library for speaker diarization, including speech activity detection, speaker change detection, and speaker embedding.
Get weekly updates on trending AI coding tools and projects.