PyTorch is an open framework for tensor computation and deep learning in Python, with dynamic neural networks and GPU support.
Open Source: #deep-learning
Catalog projects marked with #deep-learning. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 9 projects with a combined 549,533 GitHub stars. Main languages: Python, JavaScript, Julia.
Repositories
Dive into Deep Learning zh is the Chinese edition of an open deep learning book with executable examples and teaching material.
TensorFlow Models is the Model Garden with examples and model implementations for the TensorFlow ecosystem.
Annotated Deep Learning Papers is a collection of deep-learning paper implementations with explanations next to the code.
Keras is a high-level Python API for deep learning with support for multiple computation backends.
nanoGPT is a compact Python implementation for training and fine-tuning medium-sized GPT models.
DeepLearning 500 Questions is a Chinese-language learning collection of questions on machine learning and deep learning.
Deep Learning Papers Reading Roadmap is a route for reading key deep learning papers.
Flux.jl is a machine-learning library for Julia with lightweight abstractions over GPU and automatic differentiation support.