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机器学习、深度学习的学习路径及知识总结

List of Deep Learning Cloud Providers

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). Build EU AI Act conformity evidence, validate models like a risk committee, price predictive-maintenance alarms, measure document extraction, and make a simulated humanoid walk. Every lesson autograded. From the team building Synapsa.

links to conference publications in graph-based deep learning

Techniques for deep learning with satellite & aerial imagery

A Great Collection of Deep Learning Tutorials and Repositories

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

A curated list of trustworthy deep learning papers. Continually updating...

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Resources about time series forecasting and deep learning.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

how to learn PyTorch and OneFlow

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

100+ AI Machine learning Deep learning Computer vision NLP Projects with code

Deep-Learning framework for Engineering AI. Built on transformer building blocks, it delivers the full engineering stack, allowing teams to build, train, and operate industrial simulation models across engineering verticals.

Personal deep learning study notes and tutorial-style notebooks