Implementation of popular deep learning networks with TensorRT network definition API

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

用よう于pytorch的てき图像分ぶん类，包含ほうがん多た种模型がた方法ほうほう，比ひ如AlexNet，VGG，GoogleNet，ResNet，DenseNet等とう等とう，包含ほうがん可か完かん整せい运行的てき代だい码。除じょ此之外がい，也有やゆうcolab的てき在ざい线运行ぎょう代だい码，可か以直接ちょくせつ在ざいcolab在ざい线运行ぎょう查看结果。也可以迁移うつり到いた自己じこ的てき数すう据すえ集しゅう进行迁移学がく习。

Object Classification Training Framework

Multi-label classification based on timm.

A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

A PyTorch implementation of MNASNET

An example of semantic segmentation using tensorflow in eager execution.

Benchmarking various Computer Vision models on TinyImageNet Dataset

MnasNet by Tensorflow and SNPE

轻量化か卷まき积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）

MnasNet by Pytorch and NCNN

A Keras implementation of MnasNet

A TensorFlow 2.0 implementation of MnasNet: Platform-Aware Neural Architecture Search for Mobile.

AI Track's Exercise to create a basic CNN to recognize different animals from the Chinese Zodiac

Codebase for the paper "An embarrassingly simple comparison of machine learning algorithms for indoor scene classification"

Action Recognition Using CNN + Bidirectional RNN