Popular GitHub Repositories for K Nn

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.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

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

Publication-ready NN-architecture schematics.

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

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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

CVNets: A library for training computer vision networks

Text Classification Algorithms: A Survey

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.

???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。

AI无损放大工具

Add bisenetv2. My implementation of BiSeNet