The best repository showing why transformers don’t work in time series forecasting and showcasing the best SOTA non transformer models.

PyTorch Tutorial for Deep Learning Researchers

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Matlab code for state inference and parameter estimation in piecewise-linear recurrent neural network (PLRNN) models

Simulate a federated setting and run differentially private federated learning.

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

NMA deep learning course

Productive, portable, and performant GPU programming in Python.

An awesome list of papers on privacy attacks against machine learning

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

Awesome Multitask Learning Resources

A software package for calculating, applying, evaluating and plotting the results of polygenic risk scores

code from brainseq phase 1 paper

Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]

Generate a brain-predicted age using Gaussian Processes regression

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Regularized Multi-task Learning in R

LD Score Regression (LDSC)

Personal website

An R Library for Multi-task Learning

《迁移学习简明手册》LaTex源码

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

implementations of domain adaptation and MTL algorithms

Multi-Task Multiple Kernel Relationship Learning

Action Recognition & Categories via Spatial-Temporal Features

Machine learning resources