A simple tutorial of Diffusion Probabilistic Models

CVPR 2023 Highlight

Code that accompanies the paper Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning - Accepted to ICML2024

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

DomainBed is a suite to test domain generalization algorithms

深度学习经典、新论文逐段精读

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A curated list of Meta-Learning resources/papers.

dmne is an algorithm to learn node representations from multi-network data.

Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.

Heterogeneous Graph Neural Network

A curated list of network embedding techniques.

Deep Learning Papers on Medical Image Analysis

CEPICS: a comparison and evaluation platform for integration methods in cancer subtyping

A Multitask Multiple Kernel Learning Algorithm for Survival Analysis

好东西传送门

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…