Alternatives and similar repositories for Relational-Automatic-Statistician

Users that are interested in Relational-Automatic-Statistician are comparing it to the libraries listed below

• OpenXAIProject / SHAP-Tutorial
  Model Agnostic Explanations
  ☆18Updated 6 years ago
• OpenXAIProject / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆14Updated 6 years ago
• OpenXAIProject / Factors-Decomposer-Entangler-Network
  Tensorflow implementation of "Plug-in Factorization for Latent Representation Disentanglement"
  ☆12Updated 4 years ago
• OpenXAIProject / Subsampling_aliasing_artifact_eliminator
  A MR image reconstruction method using multilayer perceptron
  ☆14Updated 6 years ago
• OpenXAIProject / explainable_information_retrieval
  ☆14Updated 5 years ago
• OpenXAIProject / MRI_based_alzheimer-s_diagnostic_model
  ☆12Updated 5 years ago
• OpenXAIProject / Explaining_Decision_of_Time_Series_Data
  ☆13Updated 5 years ago
• OpenXAIProject / stable-baselines-tf2
  Explainable & Easy-to-debug Deep Reinforcement Learning Framework
  ☆16Updated 5 years ago
• OpenXAIProject / mc2-net
  Tensorflow implementation of "MC2-Net: Motion Correction Network for Multi-Contrast Brain MRI"
  ☆11Updated 5 years ago
• OpenXAIProject / NeuralPipeline_DSTC8
  ☆11Updated 5 years ago
• OpenXAIProject / dac
  Deep amortized clustering
  ☆21Updated 5 years ago
• OpenXAIProject / LRP_for_LSTM_Korean_dataset
  LRP for LSTM using Korean dataset(NSCM)
  ☆19Updated 5 years ago
• OpenXAIProject / Neural-Conversation-Models-Response-Evaluation
  Neural Conversation Models
  ☆10Updated 5 years ago
• OpenXAIProject / Interactive_Attention_Learning
  ☆11Updated 5 years ago
• OpenXAIProject / Tutorials
  tutorials of XAI project
  ☆76Updated 5 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• sungbinlim / NeuBoots
  Neural Bootstrapper (NeuBoots)
  ☆25Updated 3 years ago
• OpenXAIProject / Automatic-Stock-Report
  Explainable Bayesian Models for Smooth Time Series Datasets (부드러운 시계열 함수를 설명하는 베이지안 추론 SW)
  ☆34Updated 6 years ago
• yoonkim / skip-vae
  ☆12Updated 4 years ago
• OpenXAIProject / Joint-AFA-Classification
  ☆22Updated 6 years ago
• OpenXAIProject / UncertintyAttention_DropMax
  Attention prediction model based on uncertainty
  ☆44Updated 6 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• sjchoi86 / rl_tutorial
  Yet Another Reinforcement Learning Tutorial
  ☆73Updated 2 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆89Updated 5 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆35Updated 3 weeks ago
• alexrakowski / mc-dropout-mnist
  Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf
  ☆30Updated 5 years ago
• vmikulik / maml-pytorch
  A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
  ☆42Updated 7 years ago
• sjhwang82 / AdvancedML
  Reading list for the Advanced Machine Learning Course
  ☆375Updated 2 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆45Updated 4 years ago