Topic: cifar100 Goto Github
Some thing interesting about cifar100
Some thing interesting about cifar100
cifar100,Using CLIP for zero-shot learning and image classification with text & visual prompting.
User: abhinav-neil
cifar100,Model training examples for NeoPulse AI Studio AMI
Organization: aidynamics
cifar100,Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
User: alirezaazadbakht
cifar100,Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
User: alvinwan
Home Page: https://nbdt.aaalv.in
cifar100,π© My pytorch neural network practice repo
User: armour
cifar100,Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
User: arthurdouillard
Home Page: https://arxiv.org/abs/2111.11326
cifar100,Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
User: asafshul
Home Page: https://vision.huji.ac.il/podd/
cifar100,Feather is a module that enables effective sparsification of neural networks during training. This repository accompanies the paper "Feather: An Elegant Solution to Effective DNN Sparsification" (BMVC2023).
User: athglentis
cifar100,Classification with PyTorch.
User: bearpaw
cifar100,The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.
User: chengtan9907
cifar100,Pretrained models on CIFAR10/100 in PyTorch
User: chenyaofo
cifar100,Convolutional visions Transformer - implemented for Tensorflow
Organization: cyborg-ai-ch
cifar100,Unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s"
User: dongkyuk
cifar100,Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
User: dongkyuk
cifar100,A reproduction of Learning Efο¬cient Convolutional Networks through Network Slimming
User: estherbear
cifar100,vanilla training and adversarial training in PyTorch
User: fanghenshaometeor
cifar100,a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
User: g-u-n
cifar100,sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
User: guanhuawang
Home Page: https://rise.cs.berkeley.edu/projects/sensai/
cifar100,A lightweight and extensible toolbox for image classification
User: horrible-dong
cifar100,Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
User: junlinhan
cifar100,3.41% and 17.11% error on CIFAR-10 and CIFAR-100
User: junyuseu
cifar100,[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
User: kentonishi
cifar100,NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
User: kthyeon
Home Page: http://proceedings.mlr.press/v123/kim20a.html
cifar100,IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
User: kunzhan
Home Page: https://arxiv.org/abs/2404.11003
cifar100,Label Embedding Network
Organization: lancopku
cifar100,97.39% on CIFAR10 with PyTorch
Organization: learning-and-intelligent-systems
cifar100,67% accuracy on test set of CIFAR-100 by CNN in Keras without transfer learning
User: leotunganh
cifar100,CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning
User: ljy-hy
cifar100,[MentorMix] "Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels" implemented in the PyTorch version.
User: ljy-hy
cifar100,Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)
User: madonokouki
cifar100,Convolutional Neural Networks using Tensorflow with Cifar-100 dataset
User: nickbiso
cifar100,PyTorch implementation of shake-drop regularization
User: owruby
cifar100,Pytorch model for classification
User: pedrodiamel
cifar100,tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
User: plemeri
cifar100,[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Organization: prs-eth
cifar100,A multibranch neural net architecture. (PyTorch)
User: raghav1810
cifar100,Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
User: rahulvigneswaran
cifar100,Implementation of Convolutional enhanced image Transformer
User: rishikksh20
cifar100,Build PyTorch CIFAR100 using coarse labels
User: ryanchankh
cifar100,Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras
User: sayannath
Home Page: https://openreview.net/pdf?id=TVHS5Y4dNvM
cifar100,Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
User: shellysheynin
cifar100,PyTorch implementation of Teacher-Student Network(Knowledge Distillation).
User: shivamrajsharma
cifar100,Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
User: weiaicunzai
cifar100,Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
User: xilaili
cifar100,A coding-free framework built on PyTorch for reproducible deep learning studies. π25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. π Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
User: yoshitomo-matsubara
Home Page: https://yoshitomo-matsubara.net/torchdistill/
cifar100,Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Organization: zeiss-microscopy
cifar100,A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
User: zhangkaifang
cifar100,[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
User: zhengli97
Home Page: https://zhengli97.github.io/CTKD/
cifar100,Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)
User: zhengli97
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