| tensorflow/tfjs-examples |
6,354 |
|
0 |
0 |
about 2 years ago |
0 |
|
117 |
apache-2.0 |
JavaScript |
| Examples built with TensorFlow.js |
| alibaba/pipcook |
2,483 |
|
0 |
38 |
about 2 years ago |
104 |
May 13, 2021 |
111 |
apache-2.0 |
TypeScript |
| Machine learning platform for Web developers |
| JavierAntoran/Bayesian-Neural-Networks |
1,633 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more |
| MedMNIST/MedMNIST |
903 |
|
0 |
0 |
about 2 years ago |
7 |
August 17, 2023 |
1 |
apache-2.0 |
Python |
| [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification |
| wagamamaz/tensorflow-tutorial |
751 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
|
| TensorFlow and Deep Learning Tutorials |
| SciSharp/SciSharp-Stack-Examples |
292 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
apache-2.0 |
C# |
| Practical examples written in SciSharp's machine learning libraries |
| dougbrion/pytorch-classification-uncertainty |
235 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
Python |
| This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" |
| LinguoLi/mnist_tutorial |
222 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras. |
| anujdutt9/Handwritten-Digit-Recognition-using-Deep-Learning |
158 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Handwritten Digit Recognition using Machine Learning and Deep Learning |
| AFAgarap/cnn-svm |
151 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification |
