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…

Google Research

Matplotlib styles for scientific plotting

⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

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

🌊 Online machine learning in Python

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…

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

😎 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

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

A comprehensive list of awesome contrastive self-supervised learning papers.

Machine learning for transportation data imputation and prediction.

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

Collection for Few-shot Learning

Resources about activity recognition-行为识别资料

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

Bayesian Deep Learning Benchmarks

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

Meta Learning for Semi-Supervised Few-Shot Classification

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

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…

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition