30 open-source projects similar to sunnerli/rir-tensorflow, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best RiR Tensorflow alternative.
This project is a collection of deep learning tools for image classification and audio tagging, providing a repository of pre-trained model weights and architectures. It serves as a Keras model zoo that enables the immediate use of established neural networks for inference and transfer learning. The library includes a music tagging framework that classifies audio recordings using convolutional recurrent neural networks and mel-spectrograms. For visual data, it provides implementations of architectures such as ResNet, VGG, and Xception, alongside a repository of weights trained on large datase
tensorrtx is a computer vision inference engine and model implementation library designed for graphics processor acceleration. It provides a framework for optimizing deep learning models through a GPU inference optimizer, a deep learning model converter for transforming weights from frameworks like TensorFlow and PyTorch, and a custom plugin library to implement operations not natively supported by the TensorRT API. The project distinguishes itself through a comprehensive collection of pre-defined network implementations, ranging from various YOLO versions and DETR transformers for object det
:fire::fire:A MXNet implementation of Modified CRUNet & Residual Attention Network:fire::fire:
:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:
PyTorch implementation of PNASNet-5 on ImageNet
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
TensorFlow implementation of GoogLeNet and Inception for image classification.
This repository contains the code and trained models of "Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks".
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
DenseNet Implementation in Keras with ImageNet Pretrained Models
Residual Attention Network for Image Classification
This project contains the code implementation used for the experiments in the paper:
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
DeepLab v3+ model in PyTorch. Support different backbones.
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
CNN architecture exploration using Genetic Algorithm