wangyuanhao Goto Github PK

applied-deep-learning-with-pytorch

Demystify neural networks with PyTorch

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-multimodal-research

A curated list of Multimodal Related Research.

bsdr

Bayesian Supervised Dimensionality Reduction

da

Unsupervised Domain Adaptation Papers and Code

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

defusion

Multi-omics integration

dtinet

A Network Integration Approach for Drug-Target Interaction Prediction

gnnpapers

Must-read papers on graph neural networks (GNN)

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

kbmf

Kernelized Bayesian Matrix Factorization

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

kronrlsmkl

Kronecker Regularized Least Squares with multiple kernels

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

matlab

mdnnmd

An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.

mkr

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

msifromhe

predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer

mssl-python

Multi-task Sparse Structure Learning method in Python

multi-omics-cancer-benchmark

multi-view-lrssc

Matlab implementation of multi-view low-rank sparse subspace clustering

multitask-learning

多任务学习相关资料，论文，代码

network-papers

notes

Course notes

numerical-analysis

《数值分析》课程部分作业代码 命名规则 solution_PageNumber_QuestionNumber

ogb

An open source benchmark for graph machine learning in Pytorch https://ogb.stanford.edu

opendl

屹立深度之巅

optimization-algorithms

probability

Probabilistic reasoning and statistical analysis in TensorFlow