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.

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

Object Classification Training Framework

用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。

Multi-label classification based on timm.

A PyTorch implementation of MNASNET

A Keras implementation of MnasNet

MnasNet by Tensorflow and SNPE

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

MnasNet by Pytorch and NCNN

An example of semantic segmentation using tensorflow in eager execution.

Benchmarking various Computer Vision models on TinyImageNet Dataset

轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）

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