3 repos
Awesome GitHub RepositoriesModel Architecture and Evaluation
Technical frameworks, structural designs, and performance metrics used to analyze and categorize model capabilities.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Model Architecture and Evaluation. Refine with filters or upvote what's useful.
Awesome Model Architecture and Evaluation GitHub Repositories
We'll search the best matching repositories with AI.
- 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 - tensorflow/models
This repository serves as a centralized collection of state-of-the-art deep learning architectures and reference implementations designed for research and application development. It provides a comprehensive toolkit for computer vision and natural language processing, offering pre-built models and training pipelines fo
Python - 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
Explore sub-tags
- Large Language Model CapabilitiesSpecialized functions and reasoning abilities inherent to large-scale language models, such as logical deduction or creative writing.
- Model Architecture OverviewsTechnical summaries and structural breakdowns detailing the internal design and layer configurations of artificial intelligence models.
- Model Performance BenchmarksStandardized datasets and metrics used to quantitatively measure and compare the speed and accuracy of machine learning models.