Alternatives and similar repositories for neon_demo

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

• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆71Updated 2 years ago
• neurodata / df-dn-paper
  Conceptual & empirical comparisons between decision forests & deep networks
  ☆18Updated 3 weeks ago
• human-centered-ai-lab / app-kandinsky-pattern-generator
  Python scripts to generate Kandinsky- Figures, Patterns and Series (Images and Captions)
  ☆20Updated 5 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• rgeirhos / shortcut-perspective
  Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
  ☆98Updated 3 years ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆151Updated 4 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆33Updated 4 years ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated 2 years ago
• gabinsane / multimodal-vae-comparison
  Code for comparison of multimodal VAE models
  ☆29Updated last month
• maschulz / deeperbrain
  ☆16Updated 4 years ago
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆91Updated last month
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• FabianFalck / mfcvae
  Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…
  ☆40Updated last year
• berenslab / t-simcne
  Unsupervised visualization of image datasets using contrastive learning
  ☆114Updated last month
• JAEarly / MILLI
  Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".
  ☆13Updated 3 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• shalit-lab / deep-scientific-discovery
  An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'
  ☆12Updated 4 years ago
• cogilab / Face
  Implementation of "Face detection in untrained deep neural networks" (Baek et al., Nature Communications, 2021)
  ☆10Updated 3 years ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• jacobdeasy / geometric-js
  ☆16Updated 4 years ago
• evasnow1992 / S-VQ-VAE
  Supervised Vector-Quantized Autoencoder
  ☆18Updated 3 years ago
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 4 years ago
• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆158Updated 2 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago