1od

1od's Stars

• Corezcy/EEMD-LSTM-DO-Prediction

  EEMD、LSTM、time series prediction、DO、Deep Learning

  Language:Python8122

• HqWu-HITCS/Awesome-Chinese-LLM

  整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

  15.2k1.4k

• anitabi/anitabi.cn-document

  动画巡礼文档

  32610

• guofei9987/scikit-opt

  Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  Language:Python5.2k987

• EEGLab-Pannon/MEMD-GPU

  High-performance parallel GPU implementation of the Multivariate Empirical Mode Decomposition algorithm in CUDA

  Language:Cuda5

• baihengaead/wifi-crack-tool

  WiFi密码暴力破解工具-图形界面，支持WPA/WPA2/WPA3、多开并发、自动破解、自定义密码本、自动生成密码字典

  Language:Python1.5k203

• vrcarva/vmdpy

  Variational mode decomposition (VMD) in Python

  Language:Python32961

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python7.8k731

• weizhenhit/All-In-One-EEG-Feature-Extraction-Toolbox

  An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectral density (PSD), differential entropy (DE), empirical mode decomposition (EMD), common spatial patterns (CSP), microstate analysis and so on. (The list of features will continue to update...)

  Language:MATLAB233

• SpotX-Official/SpotX

  SpotX patcher used for patching the desktop version of Spotify

  Language:PowerShell13.5k754

• r3mz0/Spotify-win

  Premium Spotify client for Windows 7-11. (ad-free; turn on/off auto-updates, podcasts and more..)

  Language:Batchfile16827

• pontusab/cursor.directory

  Find the best cursor rules for your framework and language

  Language:TypeScript1.4k181

• opendatalab/MinerU

  A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

  Language:Python12.4k920

• NahianHasan/Cardiovascular_Disease_Classification_Employing_EMD

  Cardiovascular Disease Classification Employing Empirical Mode Decomposition (EMD) of Modified ECG

  Language:Python114

• maxiee/HeartEcho

  Explore and express your inner voice through personalized conversations with HeartEcho, a platform dedicated to understanding and evolving with you.

  Language:Python252

• poloclub/transformer-explainer

  Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

  Language:JavaScript2.7k233

• chen08209/FlClash

  A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.

  Language:Dart9.1k521

• emidan19/deep-tempest

  Restoration for TEMPEST images using deep-learning

  Language:Python48869

• xuchengsheng/spring-reading

  涵盖了 Spring 框架的核心概念和关键功能，包括控制反转（IOC）容器的使用，面向切面编程（AOP）的原理与实践，事务管理的方式与实现，Spring MVC 的流程与控制器工作机制，以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外，它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程，以及对 Spring 源码的编程风格与设计模式的深入探讨。

  Language:Java8.1k958

• JunkFood02/Seal

  🦭 Video/Audio Downloader for Android, based on yt-dlp, designed with Material You

  Language:Kotlin11k484

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++69.7k7.6k

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python12.4k920

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java96.1k12.2k

• SagerNet/sing-box

  The universal proxy platform

  Language:Go18.9k2.3k

• SunandaBiswas/Diabetes-Prediction-with-Machine-Learning-Models

  The dataset is a real dataset on Pima Indian diabetes data that consist of several medical predictor (independent) variables and one target (dependent) variable, Outcome. Independent variables include the number of pregnancies the patient has had, their BMI, insulin level,glucose level,level of Bloodpressure, skin thickness age, and so on. To predict Diabetes on diagonstic, I have used several models such as Logistic Regression, KNN Classifier, Decision Tree Classifier, Random Forest Classifier, Support Vector Classifier and Gradient Boosting Classifier. Moreover, the important part of building any machine learning model is Exploratory Data analysis(EDA) that has been described in this project shortly.

  Language:Jupyter Notebook2

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook28.2k3.2k

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• WerWolv/ImHex

  🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

  Language:C++44k1.9k

• fakufaku/piva

  Performance-oriented implementation of independent vector analysis for blind source separation.

  Language:Python2112

• SSTGroup/independent_vector_analysis

  Python versions of Independent Vector Analysis (IVA-G and IVA-L-SOS).

  Language:Python92