Master Any Code: One-Click Comments and Language Conversion. 掌握任何屎山代码：一键注释和语言转换。💪

智元 Fast API 是一站式API管理系统，将各类LLM API进行统一格式、统一规范、统一管理，使其在功能、性能和用户体验上达到极致。

👿 收录了一些能够免费下载油管、B 站、抖音等平台视频的下载工具。Some download tools that can freely download videos from platforms such as YouTube, Bilibili, Douyin, etc. have been included.

R Markdown YAML metadata (header) tutorial with examples

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

Chinese character stroke order animations and practice quizzes

Machine learning datasets used in tutorials on MachineLearningMastery.com

Data Package for Medical Datasets

Statsmodels: statistical modeling and econometrics in Python

automatic calculations of statistics with tidy output

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

R package for computing corrected test statistics for comparing machine learning models on correlated samples

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Automatic extraction of relevant features from time series:

A unified framework for machine learning with time series

🤗 AutoTrain Advanced

ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification

An R package to transform time series into networks

Tidy time series forecasting

A package for EEG time series classification built on the aeon toolkit.

Evaluation of different deep learning based approaches for classifying ECG signals from MIT-BIH Arrythimia database and PTB Diagnostic ECG Database. Authors: Mert Ertugrul, Johan Lokna, Nora Schneider

An abductive framework for the interpretation of time series, with special application to ECG data.

A unified multi-task time series model.

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