Popular GitHub Repositories for Bdd100k

100 Days of ML Coding

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

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ?25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. ? Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

DLRover: An Automatic Distributed Deep Learning System