yli96

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

DouZero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

pytorch-forecasting

Time series forecasting with PyTorch

RecBole

A unified, comprehensive and efficient recommendation library

mimic-code

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

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

tods

TODS: An Automated Time-series Outlier Detection System

LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

MTGNN

DeepLearningForTimeSeriesForecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

autovideo

AutoVideo: An Automated Video Action Recognition System

cactus-maml

Code for Unsupervised Learning via Meta-Learning.

TransferLearningTimeSeries

Transfer Learning for Time Series Prediction Task

DTCR

The paper "Learning Representations for Time Series Clustering"

versa

Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"

klcpd_code

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

Counterfactual-Recurrent-Network

Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

ScalableFHVAE

This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders"

graph_bert_work

A list of latest research papers on graph-bert

LSTMMSNet

power-laws-anomalies

MT-GAN-PyTorch

PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"

Tensorflow2.X-GPU-CUDA9.0

Tensorflow2.0-GPU-CUDA9.0

tcn

Temporal Convolutional Network for Sequence Modelling

domain_adaptation_of_linear_classifiers

Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch