Popular GitHub Repositories for K9

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.

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

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

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

Standardized Serverless ML Inference Platform on Kubernetes

Plain python implementations of basic machine learning algorithms

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

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

AI无损放大工具

Add bisenetv2. My implementation of BiSeNet

DLRover: An Automatic Distributed Deep Learning System

LLMs for your CLI

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.