371 Open source projects that are alternatives of or similar to cozmo-tensorflow

Detect the languages from short pieces of text

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

PyTorch C++ inference with LibTorch

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)

MoGA: Searching Beyond MobileNetV3

TensorFlow implementation of PNASNet-5 on ImageNet

Comparison of famous convolutional neural network models

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Sandbox for training deep learning networks

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Colorizing B&W Photos with Neural Networks

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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Classification models trained on ImageNet. Keras.

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

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FloydHub's documentation code. Contributions welcome!

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

A lightweight convolutional neural network

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Evaluation of the CNN design choices performance on ImageNet-2012.

⚡ Useful scripts when using TensorRT

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

MobileNetV3 in pytorch and ImageNet pretrained models

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

OpenMMLab Image Classification Toolbox and Benchmark

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Friendly machine learning for the web! 🤖

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Corruption and Perturbation Robustness (ICLR 2019)

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

A new test set for ImageNet

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Segmentation models with pretrained backbones. PyTorch.

Tools for generating mini-ImageNet dataset and processing batches

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Classification with PyTorch.

A pytorch implementation of VoVNet

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Python toolbox for transfer learning.

A neural network that transforms a design mock-up into a static website.