https://github.com/google-research/jestimator
Amos optimizer with JEstimator lib.
https://github.com/bchao1/fun-with-mnist
Playing with MNIST. Machine Learning. Generative Models.
https://github.com/csinva/gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
https://github.com/aryashah2k/handwritten-multiple-digits-recognizer
An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter
https://github.com/agrover112/siamesenet-search
MNIST digits image similarity search by Indexing with Annoy and using trained embeddings from a Siamese Net with Triplet Loss .
trainableactivation
Implementation for the article "Trainable Activations for Image Classification"
https://github.com/cair/fast-tsetlin-machine-with-mnist-demo
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
https://github.com/csinva/dnn-experiments
A set of scripts and experiments making it easier to analyze deep learning empirically.
bayesian_flow
A repo reproducing discrete/discretised Bayesian Flow Networks https://arxiv.org/abs/2308.07037 for MNIST and CIFAR10 datasets