elifcevrim's Stars
jianhao2016/AllSet
This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
hsiaoyi0504/awesome-cheminformatics
A curated list of Cheminformatics libraries and software.
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
liuxuan666/HypergraphSynergy
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
divelab/DIG
A library for graph deep learning research
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
gzcsudo/Awesome-Hypergraph-Network
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
FeiGSSS/Awesome-HigherOrderGraph
Collection of papers relating data-driven higher-order graph/networks researches.
giuliacassara/awesome-hypergraph-learning
A curated list of awesome Hypergraph Learning frameworks, libraries and software.
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)