| anujdutt9/Handwritten-Digit-Recognition-using-Deep-Learning |
158 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| Handwritten Digit Recognition using Machine Learning and Deep Learning |
| Swift-AI/NeuralNet-Handwriting-iOS |
132 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Swift |
| A handwriting recognition example for iOS using NeuralNet |
| vinojjayasundara/textcaps |
105 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Python |
| Official Implementation of "Textcaps: Handwritten Character Recognition With Very Small Datasets" (WACV 2019). |
| ayushoriginal/HandWritingRecognition-CNN |
89 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
|
Python |
| This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle. |
| r4ghu/iOS-CoreML-MNIST |
74 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Real-time Number Recognition using Apple's CoreML 2.0 and MNIST - |
| MccreeZhao/FR-Loss-on-Mnist |
69 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Face Recognition Loss on Mnist, Pytorch implementation |
| Curt-Park/handwritten_digit_recognition |
46 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| Handwritten digit recognition with MNIST & Keras |
| dnlcrl/deep-residual-networks-pyfunt |
45 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| 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). |
| numenta/nupic.vision |
45 |
|
0 |
0 |
over 6 years ago |
0 |
|
10 |
agpl-3.0 |
Python |
| Tools for using Numenta/nupic on visual problems like image recognition. |
| zxzhijia/Brian2STDPMNIST |
41 |
|
0 |
0 |
almost 7 years ago |
0 |
|
9 |
|
Python |
| Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP" |
