This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
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Updated
Aug 16, 2021 - Python
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
Optimizing DNN Operators on Mobile GPUs
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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