LSTM and GRU in PyTorch
-
Updated
Jan 20, 2019 - Jupyter Notebook
#
mnist-dataset
Here are 775 public repositories matching this topic...
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
tensorflow keras jupyter-notebook generative-adversarial-network gan mnist dcgan mnist-dataset gans generative-adversarial-networks wgan cifar10 conda-environment lsgan cgan cifar-10 cgans ccgan ccgans lsgans
-
Updated
Nov 8, 2023 - Jupyter Notebook
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
machine-learning deep-learning tensorflow recurrent-networks lstm-model mnist-dataset tensorflow-1-0
-
Updated
Dec 19, 2018 - Python
A resource-conscious neural network implementation for MCUs
arduino avr attiny microcontrollers neural-network simple tensorflow mnist neural-networks mnist-dataset mlp maths attiny85 quantization mnist-nn tensorflow-examples mnist-model mnist-handwriting-recognition int8-quantization quantization-efficient-network
-
Updated
Dec 22, 2024 - C++
Predict handwritten digits with CoreML
machine-learning mnist mnist-dataset convolutional-neural-networks coreml coreml-framework coreml-models
-
Updated
Feb 15, 2018 - Python
End to End learning for Video Generation from Text
-
Updated
Sep 11, 2017 - Python
-
Updated
May 22, 2017 - Jupyter Notebook
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis
-
Updated
Dec 4, 2024 - Python
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
-
Updated
Nov 19, 2017 - Python
Pytorch mnist example
-
Updated
Jan 24, 2019 - Python
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
pytorch mnist-dataset convolutional-neural-networks anomaly-detection variational-autoencoder generative-neural-network
-
Updated
Apr 9, 2024 - Python
Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs
-
Updated
Sep 14, 2017 - Python
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
php machine-learning tutorial deep-neural-networks computer-vision deep-learning neural-network pipeline cross-validation mnist mnist-dataset image-classification image-recognition php-ml mnist-handwriting-recognition php-ai machine-learning-tutorial rubix-ml php-machine-learning
-
Updated
Feb 27, 2023 - PHP
Official adversarial mixup resynthesis repository
mnist-dataset representation-learning unsupervised-learning autoencoders acai celeba-dataset mixup kmnist svhn-dataset adversarial-mixup-resynthesis
-
Updated
Feb 14, 2020 - Python
Experiments on MNIST dataset and federated training using Flower framework
-
Updated
Jul 9, 2024 - Jupyter Notebook
Machine Learning MNIST Digits with a Neural Network in Excel
learning machine-learning neural-network network excel machine mnist-dataset neural mnist-machine-learning
-
Updated
Apr 6, 2019
Example C++ CUDA implementation for training Neural Network on MNIST dataset
-
Updated
Jun 15, 2018 - Jupyter Notebook
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
machine-learning deep-learning tensorflow artificial-intelligence mnist-dataset keras-models digit-recognizer
-
Updated
Jun 19, 2017 - R
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
deep-learning tensorflow mnist-dataset convolutional-neural-networks convolutional-neural-network augmentation anomaly-detection memorizing memory-augmentation tensorflow2
-
Updated
Jun 11, 2023 - Python
Draw and classify digits (0-9) in a browser using machine learning
-
Updated
Apr 6, 2022 - Python
Improve this page
Add a description, image, and links to the mnist-dataset topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mnist-dataset topic, visit your repo's landing page and select "manage topics."