machinecurve / extra_keras_datasetsLinks
📃🎉 Additional datasets for tensorflow.keras
☆32Updated last year
Alternatives and similar repositories for extra_keras_datasets
Users that are interested in extra_keras_datasets are comparing it to the libraries listed below
Sorting:
- EscVM YouTube Channel Repository. Start from Notebooks ⬅️☆65Updated last year
- ☆49Updated 6 years ago
- Deeplearning.AI Generative Adversarial Networks (GANs) Specialization Solution☆32Updated 5 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 dataset…☆211Updated 2 years ago
- VAE for color images☆211Updated 4 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆207Updated last year
- Generative Adversarial Networks in TensorFlow 2.0☆78Updated 3 years ago
- PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understan…☆398Updated 2 years ago
- This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.☆74Updated 7 years ago
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆102Updated 10 months ago
- 30 Days GANs Paper Reading☆45Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Updated 3 years ago
- Neural network visualization toolkit for tf.keras☆337Updated 11 months ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆150Updated last year
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆82Updated 5 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆165Updated 4 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 7 years ago
- A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera☆161Updated 5 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated last week
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆177Updated 3 years ago
- A program that upscales your images using a ResNet neural network!☆12Updated 8 years ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated 2 years ago
- CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using Tensfor…☆36Updated 6 years ago
- My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.…☆389Updated 5 years ago
- Vanilla, Convolutional, VAE, Conditional VAE☆20Updated 7 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer☆109Updated 5 years ago
- Continuous Conditional Generative Adversarial Networks (CcGAN)☆130Updated 3 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆732Updated this week