Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Organizes AI tools and resources so people can browse and compare relevant services.
A curated list of machine learning models in CoreML format.
A curated list of pretrained CoreML models.
Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Curated list of ML related resources for Ruby.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
List of awesome compiler projects and papers for tensor computation and deep learning.
Curated list of Turkish AI models, datasets, papers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Awesomeclaude provides conversational AI for questions, tasks, and general assistance.
Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Documentation for Baidu Qianfan, covering setup, features, and practical usage.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Source leads with our agentic web scraper, qualify them with AI and reach them with contact enrichment.
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
A simple, but essential Bayesian optimization package, written in Python.