5 repos
Neural Network Architectures — Artificial Intelligence & Machine Learning
We curate 5 GitHub repositories matching artificial intelligence & machine learning · Neural Network Architectures. Refine with filters or upvote what's useful.
Neural Network Architectures — Artificial Intelligence & Machine Learning
- pytorch/pytorch
PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe
Pythonautograddeep-learninggpu - rasbt/LLMs-from-scratch
This repository serves as an educational framework for building large language models from the ground up. It provides a structured curriculum that guides learners through the end-to-end lifecycle of model development, including data processing, architecture design, and optimization. By focusing on low-level implementat
Jupyter Notebookaiartificial-intelligencechatbot - 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 - d2l-ai/d2l-zh
This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners
Pythonbookchinesecomputer-vision - CompVis/stable-diffusion
Stable Diffusion is a generative machine learning pipeline that synthesizes high-resolution visual content by performing iterative denoising within a compressed latent space. By mapping natural language embeddings into pixel outputs through conditioned probabilistic processes, the framework enables the generation of im
Jupyter Notebook