Hlb Cifar10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100, the current world speed record. Or ~95.79% in ~110 seconds (or less!)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Hlb Cifar10 | 1,112 | 6 months ago | 1 | apache-2.0 | Python | |||||
| Train to 94% on CIFAR-10 in <6.3 seconds on a single A100, the current world speed record. Or ~95.79% in ~110 seconds (or less!) | ||||||||||
| One Pixel Attack Keras | 1,078 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet | ||||||||||
| Cifar 10 Cnn | 726 | 4 years ago | 4 | mit | Python | |||||
| Play deep learning with CIFAR datasets | ||||||||||
| Pytorch_cifar10 | 520 | 10 months ago | 1 | mit | Python | |||||
| Pretrained TorchVision models on CIFAR10 dataset (with weights) | ||||||||||
| Deep Learning With Tensorflow 2 And Keras | 299 | 4 months ago | 7 | mit | Jupyter Notebook | |||||
| Deep Learning with TensorFlow 2 and Keras, published by Packt | ||||||||||
| Largemargin_softmax_loss | 297 | 6 years ago | 10 | other | C++ | |||||
| Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16. | ||||||||||
| Naszilla | 269 | a year ago | 1 | November 15, 2020 | 3 | apache-2.0 | Python | |||
| Naszilla is a Python library for neural architecture search (NAS) | ||||||||||
| Dawn Bench Entries | 235 | 4 years ago | 1 | Python | ||||||
| DAWNBench: An End-to-End Deep Learning Benchmark and Competition | ||||||||||
| Wideresnet Pytorch | 206 | 5 years ago | 2 | mit | Python | |||||
| Wide Residual Networks (WideResNets) in PyTorch | ||||||||||
| Tripletnet | 174 | 7 years ago | 4 | mit | Lua | |||||
| Deep metric learning using Triplet network | ||||||||||
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