pytorch-image-models
by huggingface
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
AI summary
Image classification models
A collection of pre-trained PyTorch models and optimizers for image classification tasks
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Similar projects
Found by comparing what the projects do, not just their names.
ADS-B viewer
An improved web interface for ADS-B decoder data analysis
canopy model
Develops a high-resolution canopy height model to estimate canopy top height anywhere on Earth
Building model converter
Converts satellite images into digital surface models with building height extraction
Building simulator
Tools for generating and simulating energy-efficient buildings in urban environments
Positioning algorithms
Matlab implementation of various positioning algorithms for UWB localization systems
Building Simulator
A simulation program for calculating energy consumption and greenhouse gas emissions in German non-residential buildings
Position calculator
Geographical position calculations using spherical geometry and ellipsoidal models.
Indexing service
Provides geospatial and temporal indexing on top of various data stores and databases
Decimal calculator
An arbitrary-precision decimal floating-point arithmetic package for Go
Metrics processor
Provides sample code examples for processing large-scale metrics in Ruby using Hadoop and Amazon Redshift
Distance calculator
Calculates the distance of an object using ultrasonic ranging sensor HC-SR04 with Android Things
Base converter
Converts numbers between decimal, hexadecimal, and binary formats
Weather simulator
Utilities to estimate daily weather variables at any position over complex terrains
Displacement processor
Software for processing InSAR surface displacement data in support of earthquake modeling
Vehicle localization
Develops an accurate method for dead reckoning of wheeled vehicles based only on IMU data
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