8 repos
Awesome GitHub RepositoriesModel Architectures
Structural frameworks and design patterns used to organize layers, parameters, and components within deep learning models.
Explore 8 awesome GitHub repositories matching artificial intelligence & ml · Model Architectures. Refine with filters or upvote what's useful.
Awesome Model Architectures GitHub Repositories
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- AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement. The platform distinguishes itsel
Pythonaiai-artdeep-learning - microsoft/generative-ai-for-beginners
This project is a comprehensive, open-source educational curriculum designed to guide developers through the mastery of generative artificial intelligence. It provides a structured learning path that covers foundational concepts, prompt engineering, and the practical application of large language models. The repository
Jupyter Notebookaiazurechatgpt - deepseek-ai/DeepSeek-V3
DeepSeek-V3 is a large language model that provides comprehensive resources for model utilization, including technical specifications, pre-trained weights, and evaluation benchmarks. The project details the core transformer architecture, including parameter counts and multi-token prediction modules, while supporting na
Python - mlabonne/llm-course
This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we
courselarge-language-modelsllm - dair-ai/Prompt-Engineering-Guide
This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task
MDXagentagentsai-agents - keras-team/keras
Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di
Pythondata-sciencedeep-learningjax - facebookresearch/segment-anything
This project provides a deep learning architecture designed to identify and isolate distinct objects within images by generating precise pixel-level masks. It functions as a browser-based inference engine, enabling the execution of complex machine learning models directly within web environments without requiring serve
Jupyter Notebook - ultralytics/ultralytics
Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification
Pythonclicomputer-visiondeep-learning
Explore sub-tags
- Computer Vision Segmentation ModelsDeep learning architectures for pixel-level object isolation.
- Concept Segmentation ModelsModels that segment objects based on text or image prompts.
- Functional State Management SystemsMechanisms for defining neural network layers and model states using stateless, explicit variable passing to ensure numerical consistency.
- Generative Model Architecture SupportNative support for specific generative model architectures.