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⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
QP/C++ Real-Time Event Framework/RTOS implements event-driven Active Object (Actor) model combined with Hierarchical State Machines. Specifically designed for embedded systems (e.g., ARM Cortex-M M…
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering
[CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Multi-Scale Non-Local Attention Network Demo Page
PyTorch code for our paper "Image super-resolution using multi-scale non-local attention" (Journal of Electronic Imaging).
[CVPR 2025] SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
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
Volume Under the Surface: Accuracy Measure for Time Series Anomaly Detection
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Matplotlib styles for scientific plotting
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Repository for "Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision", CVPR, 2023
[ICLR 2025] Official Code Release for Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Machine learning for transportation data imputation and prediction.
Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time series data customly.
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".
[CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
A comprehensive list of awesome contrastive self-supervised learning papers.