GitHub topics: kmnist
christopher-beckham/amr
Official adversarial mixup resynthesis repository
Language: Python - Size: 13.9 MB - Last synced at: 20 days ago - Pushed at: about 5 years ago - Stars: 35 - Forks: 2
kobejean/kmnist-cnn
Training a convolutional neural network on the KMNIST dataset
Language: Swift - Size: 37 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
RoninSanta/Machine_Learning-Classical_JAP_Literature_Text_Recognition
Kuzushiji, a form of cursive writing that is popularized in pre-modern Japan prior to the 19th century. Most historical documents that exist today are written in this form of writing. Therefore, I wish to train a model that could transcribe ancient Kuzushiji scripts into modern characters for researchers.
Language: Jupyter Notebook - Size: 5.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ak110/probspace_kmnist
ProbSpace 「くずし字」識別チャレンジ 2位解法
Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 1
klima7/KMNIST-EMNIST-Translator
Translator from KMNIST encoded pages to readable EMNIST, based on unsupervised learning algorithms.
Language: Jupyter Notebook - Size: 37.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
sujatasaini/Kuzushiji-DropBlock
Japanese Handwritten Character Recognition using DropBlock Regulzarization
Language: Python - Size: 334 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1
robfiras/Tutorial_Bayesian_Optimization_for_optimal_Learning_Rate
Hands-on tutorial on Bayesian optimization for learning rate optimization on the K-MNIST dataset using PyTorch.
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
AnweshaDas7/Japanese-handwriting-recognizer
Language: Python - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
