reoneo97 / vae-playgroundLinks
Implementation of Variational Autoencoders using Pytorch Lightning
☆32Updated 2 years ago
Alternatives and similar repositories for vae-playground
Users that are interested in vae-playground are comparing it to the libraries listed below
Sorting:
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- VAE for color images☆211Updated 4 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆258Updated 2 months ago
- Overview of different model interpretability libraries.☆51Updated 3 years ago
- Autoencoders in PyTorch☆98Updated 3 years ago
- A fast hierarchical dimensionality reduction algorithm.☆71Updated 2 weeks ago
- Unsupervised visualization of image datasets using contrastive learning☆116Updated 6 months ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆171Updated 8 months ago
- Convert scikit-learn models to PyTorch modules☆168Updated last year
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆101Updated 2 years ago
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥…☆478Updated last week
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆318Updated 4 months ago
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆196Updated 4 months ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆160Updated 10 months ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).☆41Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated last year
- Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)☆111Updated 11 months ago
- Example unit tests for deep learning projects.☆37Updated 5 years ago
- Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.☆28Updated 2 years ago
- Advanced random forest methods in Python☆58Updated 2 years ago
- ☆50Updated last year
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- A python implementation of the DeepInsight methodology.☆171Updated 2 months ago
- Drift Detection for your PyTorch Models☆323Updated 3 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 3 years ago