VGG16 models for CIFAR-10 and CIFAR-100 using Keras
☆225Oct 14, 2021Updated 4 years ago
Alternatives and similar repositories for cifar-vgg
Users that are interested in cifar-vgg are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Keras VGG implementation for CIFAR-10 classification Tutorial☆14Feb 15, 2019Updated 7 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- cifar10 dataset in vgg architecture by tensorflow☆10Feb 24, 2018Updated 8 years ago
- ☆19Mar 24, 2023Updated 3 years ago
- deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation☆16Dec 30, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆360Apr 30, 2019Updated 7 years ago
- Implementation of AlexNet with Tensorflow☆27Jul 11, 2018Updated 7 years ago
- ☆13Jan 17, 2018Updated 8 years ago
- Heterogeneous Cluster Interconnect to bind special-purpose HW accelerators with general-purpose cluster cores☆16Apr 30, 2026Updated 2 weeks ago
- Play deep learning with CIFAR datasets☆841Aug 27, 2020Updated 5 years ago
- Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation☆10Jun 29, 2021Updated 4 years ago
- Fast Emulation of Approximate DNN Accelerators in PyTorch☆31Feb 23, 2024Updated 2 years ago
- practice on CIFAR10 with Keras☆43Aug 30, 2018Updated 7 years ago
- ☆20Sep 28, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆17Jul 27, 2024Updated last year
- 95.47% on CIFAR10 with PyTorch☆6,392Feb 24, 2023Updated 3 years ago
- A Tensorflow implementation of VGG-16 trained on CIFAR-100☆11May 25, 2018Updated 7 years ago
- My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.☆17Jun 27, 2020Updated 5 years ago
- ☆15Jan 15, 2019Updated 7 years ago
- A data-free backdoor detector for deep neural networks☆21Mar 8, 2023Updated 3 years ago
- Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset☆17Aug 26, 2019Updated 6 years ago
- ☆12Mar 5, 2024Updated 2 years ago
- Pytorch implementation for image compression and reconstruction via autoencoder☆10Jun 17, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆14Jan 31, 2019Updated 7 years ago
- ☆19Jul 20, 2018Updated 7 years ago
- Understanding Convolution for Semantic Segmentation, web: 1. https://zhuanlan.zhihu.com/p/26659914 2. https://blog.csdn.net/u011974639…☆16Dec 22, 2018Updated 7 years ago
- Quantization of Convolutional Neural networks.☆248Aug 5, 2024Updated last year
- Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"☆29Jan 26, 2020Updated 6 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆28Dec 9, 2018Updated 7 years ago
- ☆15Mar 30, 2020Updated 6 years ago
- Replace original DRAM model in GPGPU-sim with Ramulator DRAM model☆21Dec 10, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆12Jul 25, 2024Updated last year
- Code for the paper "Faster Neural Network Training with Approximate Tensor Operations"☆10Oct 23, 2021Updated 4 years ago
- ☆12Aug 25, 2022Updated 3 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Apr 4, 2023Updated 3 years ago
- We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify i…☆21Jul 16, 2018Updated 7 years ago
- ☆11Dec 31, 2019Updated 6 years ago
- Variational autoencoder implementation using Tensorflow and Python☆10Dec 6, 2016Updated 9 years ago