Alternatives and similar repositories for vae_demo:

Users that are interested in vae_demo are comparing it to the libraries listed below

• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• tchaton / lightning-hydra-seed
  Pytorch Lightning seed project with hydra
  ☆18Updated 4 years ago
• nestordemeure / ManifoldMixup
  Manifold-Mixup implementation for fastai V1
  ☆19Updated 4 years ago
• RuiShu / one-bit-vae
  A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE
  ☆11Updated 8 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆18Updated 5 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• cambridge-mlg / expressiveness-approx-bnns
  Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
  ☆13Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆58Updated 4 years ago
• GoodAI / GTN
  (partial) replication of results from https://arxiv.org/abs/1912.07768
  ☆26Updated 4 years ago
• asperti / BalancingVAE
  An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence
  ☆19Updated 4 years ago
• GillesVandewiele / covid19-mrna-degradation-prediction
  Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle
  ☆20Updated 4 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 4 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• CPJKU / kagglebirds2020
  7th place solution for the Cornell Birdcall Identification Kaggle Challenge
  ☆11Updated 4 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆56Updated 4 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 3 years ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆82Updated 3 years ago
• michalwols / yann
  Yet Another Neural Network Library 🤔
  ☆25Updated this week
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• sayakpaul / Sharpness-Aware-Minimization-TensorFlow
  Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
  ☆60Updated 3 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 4 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago