Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

AI比赛经验帖子 & 训练和测试技巧帖子 集锦（收集整理各种人工智能比赛经验帖）

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses

A survey on machine learning for combinatorial optimization.

MATH 490 Final Project: Approximating solutions to the decision variant of the TSP with Graph Neural Networks

An attempt at demystifying graph deep learning

סקירות של מאמרים ותחומי מחקר בנושא למידה עמוקה בעברית.

Streamlit App for Node and Graph Classification and Explainability

Exploring the design surface of ACE for crystal deep learning

ReVoLT: Relational Reasoning and Voronoi Local graph planning for Target-driven navigation

梦家の博客

Predict a link between two person in the future

Everyday paper

A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and dynamic graph modelling, all with an interactive web interface.

🧬 Workshop in omics integration and systems biology