Alternatives and similar repositories for n-digit-mnist:

Users that are interested in n-digit-mnist are comparing it to the libraries listed below

• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 5 months ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated last year
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 5 years ago
• minyoungg / overparam
  ☆40Updated last year
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 5 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• AIcrowd / neurips2019_disentanglement_challenge_starter_kit
  Starter Kit for the NeurIPS 2019 Disentanglement Challenge
  ☆33Updated 2 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆22Updated 4 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆31Updated 6 years ago
• mahayat / SimCLR-2
  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
  ☆16Updated 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 4 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• facebookarchive / NAM
  Non-Adversarial Unsupervised Domain Mapping
  ☆39Updated 5 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆35Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• HyeonwooNoh / vqa_task_discovery
  Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
  ☆32Updated 5 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆38Updated 7 years ago