🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
PyTorch Tutorial for Deep Learning Researchers
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
Neural Networks: Zero to Hero
Learn OpenCV : C++ and Python Examples
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
machine learning and deep learning tutorials, articles and other resources
Code samples for my book "Neural Networks and Deep Learning"
Must-read papers on graph neural networks (GNN)
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A paper list of object detection using deep learning.
Minimal and clean examples of machine learning algorithms implementations
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Techniques for deep learning with satellite & aerial imagery
A resource repository for 3D machine learning
HumHub is an Open Source Enterprise Social Network. Easy to install, intuitive to use and extendable with countless freely available modules.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman