Popular GitHub Repositories for K 12

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

12 Weeks, 24 Lessons, AI for All!

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

? Kubectl plugin to create manifests with LLMs

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Plain python implementations of basic machine learning algorithms

Standardized Serverless ML Inference Platform on Kubernetes

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MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

QualityScaler - image/video AI upscaler app

???AI赋能股票分析：自选股行情获取，成本盈亏展示，涨跌报警推送。目前已支持A股，港股，美股，未来计划加入基金，ETF等支持。支持市场整体/个股情绪分析，K线分析等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。

CVNets: A library for training computer vision networks

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

Text Classification Algorithms: A Survey