LittleArden

LittleArden's Stars

• clash-verge-rev/clash-verge-rev

  Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

  Language:TypeScript44.2k1472.2k3.4k

• gkd-kit/gkd

  基于无障碍，高级选择器，订阅规则的自定义屏幕点击 Android 应用 | An Android APP with custom screen tapping based on Accessibility, Advanced Selectors, and Subscription Rules

  Language:Kotlin23.6k835781.2k

• Snoopy1866/LiTiaotiao-Custom-Rules

  10.4k47136767

• ai-boost/awesome-prompts

  Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

  5.5k679517

• hwanz/SSR-V2ray-Trojan

  机场推荐与机场评测

  4.4k580112

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  3k10812454

• hfawaz/dl-4-tsc

  Deep Learning for Time Series Classification

  Language:Python1.6k4847571

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python791369175

• cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

  Fully Convlutional Neural Networks for state-of-the-art time series classification

  Language:Python6842720204

• YU1ut/MixMatch-pytorch

  Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

  Language:Python6391238129

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python44953283

• iBelieveCJM/pseudo_label-pytorch

  The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

  Language:Shell3362655

• yaoyz96/els-cas-templates

  Elsevier template 'els-cas-templates'.

  Language:TeX1713419

• qianlima-lab/time-series-ptms

  This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).

  Language:Python1623311

• YoZhibo/MSGNet

  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)

  Language:Python14432322

• emadeldeen24/CA-TCC

  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

  Language:Python1271935

• FlamieZhu/Balanced-Contrastive-Learning

  Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

  Language:Python10021413

• Sharkfin-top/awesome-TS-anomaly-detection_zh

  973014

• bbuing9/DARP

  Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

  Language:Python714911

• eth-siplab/Finding_Order_in_Chaos

  The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning.

  Language:Python30371

• qianlima-lab/DiffShape

  This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-24).

  Language:Python26242

• DL4mHealth/SLOTS

  Semi-Supervised End-to-End Contrastive Learning for Time Series Classification

  Language:Python24101

• Wickstrom/MixupContrastiveLearning

  Code for mixup contrastive learning

  Language:Jupyter Notebook21105

• LeeHyuck/CDMAD

  Code of the CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning (2024 CVPR accepted paper)

  Language:Python18233

• renzhenwang/bias-adaptive-classifier

  This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.

  Language:Python18243

• qianlima-lab/TS-TFC

  This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23).

  Language:Python13323

• BorealisAI/ssl-for-timeseries

  Self Supervised Learning for Time Series Using Similarity Distillation

  Language:Python10301

• Vicky-51/TS-CoT

  5230

• emadeldeen24/semi-supervised_baselines

  Self- and Semi-supervised learning baselines. Used in CA-TCC paper.

  Language:Python2101

• ndaneil/electrical-load-classification-openset-demo

  Language:Jupyter Notebook2100