Showing 2241-2260 of 2,554 projects
A plug-and-play language model implementation that allows steering the topic and attributes of GPT-2 models.
A repository containing puzzles and challenges for training large language models (LLMs).
A Python framework for building and training neural networks using the Theano library.
Provides a collection of workflows for the ComfyUI AI tool, designed for developers working with AI tools.
Federated learning library for distributed AI model training across multiple devices or servers.
A Python CLI tool that generates and runs shell commands using LangChain and large language models.
This repository provides a Python-based chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake for vibe coders.
A comprehensive collection of deep learning paper reviews and code practices for AI developers.
A Java library for developers building AI-powered applications and tools.
MeZO: A novel fine-tuning method for language models that requires just forward passes, ideal for vibe coders.
An open-source machine learning framework for developers to build AI-powered applications.
A Spark accelerator for Apache DataFusion, a SQL query engine written in Rust, aimed at vibe coders.
A TensorFlow-based text classifier implementation that can be used as a starting point for building AI-powered coding tools.
A JavaScript-based repository that helps developers learn and experiment with generative AI technologies.
Minimalistic PyTorch implementation of diffusion models, a powerful class of generative AI models.
A curated list of foundation models for vision and language tasks, useful for vibe coders building AI-powered applications.
An all-in-one tool for AI-powered song cover creation, including YouTube audio download, vocal separation, audio splitting, training, and inference.
A comprehensive resource for machine learning and deep learning research and enthusiasts.
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere.
A Ruby implementation of the Model Context Protocol (MCP) for building AI-powered applications.
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