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A Python library that implements Hopfield Networks, a type of recurrent neural network useful for AI applications.
A diffusion transformer model for generating high-quality 4K text-to-image art, focused on vibe coders and AI developers.
An AI-powered tool that integrates multiple AI models like ChatGPT, Gemini, and Stable Diffusion for Windows, macOS, and Android.
A collection of workflows for the ComfyUI AI tool, leveraging the comfyui-easy-use package.
Official code implementation of Vary, a method for scaling up the vision vocabulary of large vision language models.
Deep learning library for Rust with shape-checked tensors and neural networks
Implementation of a 1-bit Transformer model for large language models in PyTorch.
A developer-focused platform for text-to-speech, RAG, and LLMs, with local-first architecture.
DeepSeekMoE is a novel Mixture-of-Experts language model framework for building highly specialized AI coding assistants.
Minimal, clean example of LSTM neural network training in Python for learning purposes.
Chai-1 is a state-of-the-art model for biomolecular structure prediction, built with Python.
Android offer killer helps developers prepare for Android interviews with data structures and design patterns
MCP specification and framework for connecting AI models to web tools and data sources
A powerful multimodal transformer for combining language, vision, and other modalities in AI applications.
A comprehensive collection of tools, prompts, frameworks, and models for creating LLM agents and AI-powered applications.
Conditional Transformer Language Model for Controllable Text Generation
MotionGPT is a unified motion-language generation model that can generate human motion using large language models.
AIMedia is an AI-powered content creation and publishing platform for popular social media channels.
Python bindings for Transformer models implemented in C/C++ using the GGML library.
An open-ended evolution system for self-improving AI agents that can be used for developing advanced AI applications.
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