47 skills found · Page 1 of 2
ryanjcooper / EMNISTA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
akshaybahadur21 / Alphabet Recognition EMNISTAlphabet recognition using EMNIST dataset for humans ⚓
samkit-jain / Handwriting RecognitionSoftware to recognize handwriting
j05t / EmnistClassify EMNIST Digits using Convolutional Neural Networks
EklavyaFCB / EMNIST Kohonen SOMUsing Kohonen's algorithm to make a Self Organising Map using the EMNIST database on handwritten alphabets.
foowaa / Torchvision Datasets MnistProcessed torchvision mnist(MNIST, FashionMNIST, EMNIST) datasets for download
anandhkishan / Handwritten Character Recognition Using CNNRecognizing handwritten character image using CNN with the CNN model trained using EMNIST dataset. The work is extended by adding 12 more characters from Tamil language to the dataset and prediction is made.
johnkorn / DistillationKeras + tensorflow experiments with knowledge distillation on EMNIST dataset
shubhammor0403 / EMNISTClassify and predict words using EMNIST dataset
remingtonspaz / Unity HandwritingEMNIST handwriting recognition for Unity using ML-Agents and CNN model from https://github.com/Coopss/EMNIST
mkurovski / Emnist Dl2prodJuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
JiJiFlyer / Tf2 Emnist Test运用tensorflow2简单实现基于emnist数据集的手写英文字母和数字识别，同时是ResNet在tf2上的简单实现。
Scienthusiasts / Emnist Chars74k Datasetsemnist融合chars74k数据集
ekzhang / Vae Cnn MnistConditional variational autoencoder applied to EMNIST + an interactive demo to explore the latent space.
gaurav0651 / Emnistemnist pytorch LeNet CNN gpu
laavanyebahl / OCR Extracting Text From Images With Neural NetworksOCR using a simple network developed from scratch on NIST36 dataset vs with CNN on PyTorch on EMNIST dataset
XavierSpycy / EMNIST ClassifierHandwritten character recognition on EMNIST ByClass using Convolutional Neural Networks with PyTorch.
LordAlucard90 / Variational AutoEncoder For Novelty DetectionA Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
nthoangcute / TinyCNNGet 99.13% test accuracy MNIST with only 300 lines of code CNN by JAVA
gentaiscool / Cnn Autoencoder TfCNN and Contrastive Autoencoder (CAE) on EMNIST using Tensorflow
