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algonotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

autovc

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

awesome-of-time-series-augmentation

A curated list of time series augmentation resources.

bert-ner-demo

嵌套命名实体识别 Nested NER

casrel_pytorch

关系抽取 calrel pytorch

computervisionpractice

copent

R package for estimating copula entropy (mutual information) and transfer entropy (conditional independence)

correlationmatrixclustering

An example on how Correlation Matrix can be displayed and clustered

crossformer

时序跨维度依赖Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

cutword

一个简单快速的分词、命名实体识别工具

darknet_pytorch_yolov7

Convolutional Neural Networks

darts

A python library for easy manipulation and forecasting of time series.

deep-tsne-embedding

Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !

deeplearning-liquid-s4

Liquid Structural State-Space Models

deeplearning-s4

Structured state space sequence models

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

dpc-ce

code of DPC-CE （Density Peak Clustering with Connectivity Estimation，Knowledge-Based Systems, 2022）

dpmpso

code of DPMPSO (基于密度峰值的依维度重置多种群粒子群算法，Journal of Software ，软件学报 ，2021)

fairmot

A simple baseline for one-shot multi-object tracking

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

fit-sne

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

fpcmspso

the code of FPCMSPSO ( Fitness peak clustering based dynamic multi swarm particle swarm optimization with enhanced learning strategy. Expert Systems with Applications, 2021 )

gbrt-for-tsf

paper：Do We Really Need Deep Learning Models for Time Series Forecasting?

google-research

Google Research Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

graphembedding

Implementation and experiments of graph embedding algorithms.

graphneuralnetworkbased-gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

gru_ode_bayes-

Pytorch implementation of GRU-ODE-Bayes