Showing 1621-1640 of 3,069 projects
The Reference Architecture for Agility provides a technology-neutral logical architecture for cloud-native, decentralized, and microservices-based systems.
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 Python toolbox for gaining geometric insights into high-dimensional data, useful for vibe coders working with AI tools.
A comprehensive collection of tools, prompts, frameworks, and models for creating LLM agents and AI-powered applications.
A PyTorch implementation of the InsightFace face recognition model.
A high-fidelity 3D creation tool from a single image using diffusion models for vibe coders.
Conditional Transformer Language Model for Controllable Text Generation
PyPSA is a Python library for power system analysis, focused on capacity expansion planning and renewable energy integration.
An Android application for super-resolution and image interpolation using popular AI models like RealSR, SRMD, and Waifu2x.
Official implementation of the PVT (Pyramid Vision Transformer) series, a backbone model for detection and segmentation tasks.
MotionGPT is a unified motion-language generation model that can generate human motion using large language models.
A large language model for dialogue in Chinese and English
A Python library for learning the fundamentals of machine learning and deep learning from scratch.
Python bindings for Transformer models implemented in C/C++ using the GGML library.
CAM is a MATLAB library for generating Class Activation Maps, a technique for visualizing what a deep learning model focuses on.
Official implementation of a decomposable multiscale mixing model for time series forecasting
A Python library for deep and online learning with spiking neural networks (SNNs) using PyTorch.
A TensorFlow template application for building deep learning models and deploying them to production.
Petastorm enables training and evaluation of deep learning models from Apache Parquet datasets.
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