LSTM and GRU in PyTorch
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Jan 20, 2019 - Jupyter Notebook
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mnist-dataset
Here are 836 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
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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
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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
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Apr 22, 2025 - C++
Predict handwritten digits with CoreML
machine-learning mnist mnist-dataset convolutional-neural-networks coreml coreml-framework coreml-models
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Feb 15, 2018 - Python
End to End learning for Video Generation from Text
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Sep 11, 2017 - Python
🏆 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
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Jan 30, 2025 - Python
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May 22, 2017 - Jupyter Notebook
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
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Nov 19, 2017 - Python
Pytorch mnist example
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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
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Apr 9, 2024 - Python
Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs
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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
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Jul 25, 2025 - PHP
Experiments on MNIST dataset and federated training using Flower framework
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Jul 9, 2024 - Jupyter Notebook
Official adversarial mixup resynthesis repository
mnist-dataset representation-learning unsupervised-learning autoencoders acai celeba-dataset mixup kmnist svhn-dataset adversarial-mixup-resynthesis
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Feb 14, 2020 - Python
Machine Learning MNIST Digits with a Neural Network in Excel
learning machine-learning neural-network network excel machine mnist-dataset neural mnist-machine-learning
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Apr 6, 2019
Example C++ CUDA implementation for training Neural Network on MNIST dataset
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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
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Jun 19, 2017 - R
Draw and classify digits (0-9) in a browser using machine learning
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Apr 6, 2022 - Python
Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.
java machine-learning tutorial ai neural-network machine-learning-algorithms artificial-intelligence mnist neural-networks convolutional-layers mnist-classification mnist-dataset image-classification image-recognition convolution convolutional-neural-networks convolutional-neural-network maxpooling stochastic-gradient-descent
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Apr 21, 2022 - Java
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