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efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

mmcls

OpenMMLab Pre-training Toolbox and Benchmark

image-classifiers

Classification models trained on ImageNet. Keras.

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

segmentation-models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

torchlm

💎An easy-to-use PyTorch library for face landmarks detection: training, evaluation, inference, and 100+ data augmentations.🎉

jai

Just Assemble IT! - A LEGO-style & PyTorch-based Deep Learning Library

darmo

PyTorch image classification models pre-trained

bsconv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

light-cnns

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

tensornets

High level network definitions with pre-trained weights in TensorFlow

posecamera

Realtime Human Pose Estimation

segmentation-models-zwy

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

hyperpose

HyperPose is a library for building human pose estimation systems that can efficiently operate in the wild.