Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for cifar
cifar
x
1,160 search results found
G Simclr
⭐
69
This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
Patchmix
⭐
68
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
Dualstudent
⭐
68
Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' (ICCV 2019)
Label Embedding Network
⭐
68
Label Embedding Network
Example_forgetting
⭐
68
Non Local_nets Tensorflow
⭐
67
An implement of Non-local neural networks for tensorflow version
Rmsnorm
⭐
67
Root Mean Square Layer Normalization
Pseudolabeling
⭐
67
Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
Stochastic Quantization
⭐
67
Training Low-bits DNNs with Stochastic Quantization
Pytorch Gconv Experiments
⭐
66
Experiments with Group Equivariant Convolutions in PyTorch
Bsconv
⭐
66
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
Darts Pytorch
⭐
66
PyTorch 1.0 supported for CNN exp.
Dcgan Tensorflow
⭐
65
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Deep Hash Table Icml18
⭐
65
"Efficient end-to-end learning for quantizable representations" accepted at ICML2018
Robust_overfitting
⭐
64
Se_densenet
⭐
64
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen and Gang Sun) module, writen in Pytorch, train and eval codes have been released.
Cifar10dataset
⭐
64
Create your own dataset with the similar format with CIFAR10 in python version.
Torchline
⭐
63
Easy to use Pytorch
Gan
⭐
63
Tensorflow code of Dist-GAN, GN-GAN and other GAN methods
Ir Net
⭐
63
This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Enaet
⭐
63
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
Wgan Gp Tensorflow
⭐
62
WGAN-GP tensorflow implementation
Factorized Bilinear Network
⭐
62
FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)
Pytorch_squeezenet
⭐
62
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
Dlf
⭐
62
Code for reproducing results in "Generative Model with Dynamic Linear Flow"
Pytorch Be Your Own Teacher
⭐
61
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
Unlearnable Examples
⭐
61
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
Hyperion
⭐
61
Python toolkit for speech processing
Cot
⭐
61
[ICLR'19] Complement Objective Training
Entropy Sgd
⭐
61
Lua implementation of Entropy-SGD
Adversarial Contrastive Learning
⭐
60
[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Srmnet
⭐
60
PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"
Glc
⭐
60
Gold Loss Correction
Hessianflow
⭐
59
Gpq
⭐
59
Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
Icarl
⭐
59
Cifar10cnnflask
⭐
59
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Image_classification_sota
⭐
58
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
Gibbsnet
⭐
57
Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
Adversarial Autoencoder
⭐
57
An adversarial autoencoder implementation in pytorch
Mxnet_tutorial
⭐
56
Using Mxnet!!!!
Bayesbyhypernet
⭐
55
Code for the paper Implicit Weight Uncertainty in Neural Networks
Dpsh Pytorch
⭐
55
A pytorch implementation for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" with pytorch version
Omni Gan Pytorch
⭐
54
ICCV2021 (poster)
Embedded_gcnn
⭐
54
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Csgmcmc
⭐
54
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Tensorflow Cifar100
⭐
54
High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
Pytorch Priv
⭐
53
Pytorch implementation for Classification, Semantic Segmentation and Object Detection
Balancedmetasoftmax Classification
⭐
53
Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets
Pencil
⭐
53
PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
Catalyst Examples
⭐
53
Examples
Bc_learning_image
⭐
53
Chainer implementation of between-class learning for Image classification https://arxiv.org/abs/1711.10284
Google_evolution
⭐
53
Tensorflow Input Pipelines
⭐
53
TensorFlow input pipelines for multiple datasets for easy data fetching
Dfw
⭐
53
Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
Perturbation_learning
⭐
52
Learning perturbation sets for robust machine learning
Pytorch Stn
⭐
52
Spatial Transformer Networks in Pytorch.
Metric Transfer.pytorch
⭐
50
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Handcrafted Dp
⭐
50
Opticalcnn
⭐
50
hybrid optical electronic convolutional neural networks
Okddip Aaai2020
⭐
50
This is a PyTorch-1.0 implementation for the AAAI-2020 paper (Online Knowledge Distillation with Diverse Peers).
Otfusion
⭐
49
Model Fusion via Optimal Transport, NeurIPS 2020
Hexaconv
⭐
48
Cn Dpm
⭐
48
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
Signsgd
⭐
48
Code for the signSGD paper
Deep Learning And Practices
⭐
48
Version control for my deep learning course.
Hyperparam1
⭐
48
Denser Models
⭐
47
Unas
⭐
47
Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
Mister_ed
⭐
47
Pytorch Adversarial Attack Framework
Darts.pytorch1.1
⭐
47
Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055
Densenet
⭐
47
A PyTorch Implementation of "Densely Connected Convolutional Networks"
Dsvc
⭐
47
Research Institute of Data Science and Vision Computing Machine Learning and Deep Learning Course
Kfac Pytorch
⭐
47
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
Lg Fedavg
⭐
46
Federated Learning with Local and Global Representations
Hsja
⭐
46
Mobilenet V2_cifar10
⭐
46
a pytorch implement of mobileNet v2 on cifar10
Cvpr19_incremental_learning
⭐
46
Learning a Unified Classifier Incrementally via Rebalancing
Efficientnas
⭐
46
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Batch Instance Normalization
⭐
46
Batch-Instance Normalization (BIN)
Deep Residual Networks Pyfunt
⭐
45
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
Mixco Mixup Contrast
⭐
45
MixCo: Mix-up Contrastive Learning for Visual Representation, NeurIPS 2020 Workshop on SSL
Se Net Cifar
⭐
45
SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
Nat
⭐
45
Implementation for NAT.
Oc Nn_old
⭐
44
Models for one class neural networks
Ml Afv
⭐
44
Simplenet_pytorch
⭐
44
SimpleNetV1 Implementation in Pytorch
Data Free Adversarial Distillation
⭐
44
Code and pretrained models for paper: Data-Free Adversarial Distillation
Gradient Based Sample Selection
⭐
44
Spectral Lib
⭐
44
Talr
⭐
43
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
Cuda Convnet
⭐
43
started from Alex's code on google code
Over Parametrization
⭐
43
Computing various norms/measures on over-parametrized neural networks
Neuralrejuvenation Cvpr19
⭐
43
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
Filtersketch
⭐
43
Pytorch implementation of our paper under review -- Filter Sketch for Network Pruning
Wideresnet Tensorlayer
⭐
43
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Semckd
⭐
43
This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).
Semisup Adv
⭐
43
Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
Pytorch Cifar Sgdr
⭐
43
SGDR with pytorch on CIFAR-10 (now superseded by official PyTorch CosineAnnealingLR)
Dimensionality Driven Learning
⭐
43
Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018
Related Searches
Python Cifar (1,478)
Pytorch Cifar (462)
Jupyter Notebook Cifar (409)
Dataset Cifar (369)
Resnet Cifar (354)
Mnist Cifar (321)
Cifar Cifar10 (315)
Cifar Imagenet (308)
Tensorflow Cifar (305)
Convolutional Neural Networks Cifar (273)
301-400 of 1,160 search results
< Previous
Next >
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.