Alternatives and similar repositories for t-SNE:

Users that are interested in t-SNE are comparing it to the libraries listed below

• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 5 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆69Updated 5 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• larsbratholm / champs_kaggle
  Collection of code and data related to the CHAMPS kaggle competition
  ☆10Updated 2 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆69Updated 5 years ago
• JAVI897 / ML-Metrics
  Threshold analysis
  ☆12Updated 4 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 4 years ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 6 years ago
• imd-iclr / imd
  The Shape of Data: Intrinsic Distance for Comparing Data Distributions
  ☆12Updated 5 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 3 years ago
• LeviBorodenko / garnn
  TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.
  ☆28Updated 5 years ago
• titu1994 / tf_neural_deconvolution
  Neural Deconvolutions in Tensorflow
  ☆12Updated 4 years ago
• vistalab-technion / cs236605-tutorials
  ☆22Updated 5 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• haven-jeon / grad_cam_gluon
  Grad CAM for Text Classification
  ☆17Updated 6 years ago
• mpstewart1 / Autoencoders
  ☆6Updated 4 years ago
• insilicomedicine / DD-VAE
  Deterministic Decoding for Discrete Data in Variational Autoencoders
  ☆24Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆58Updated 3 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆49Updated 6 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 3 years ago
• zeroshot-ood / ood-detection
  Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"
  ☆13Updated 5 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• gn-exp / gn-exp
  Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
  ☆23Updated 5 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• fg91 / DeViSE-zero-shot-classification
  DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker
  ☆47Updated 5 years ago
• anirudhsom / PI-Net
  Python code to directly compute persistence images (PIs) from data (time-series or images) using deep learning.
  ☆26Updated 6 months ago
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 6 years ago