SNU-DRL / DEEP-BOLinks
DEEP-BO for Hyperparameter Optimization of Deep Networks
☆15Updated 3 years ago
Alternatives and similar repositories for DEEP-BO
Users that are interested in DEEP-BO are comparing it to the libraries listed below
Sorting:
- Official implementation of Temporal-Guided Networks☆48Updated 5 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 7 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 6 years ago
- This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…☆52Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Updated 5 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- ☆23Updated 4 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 8 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 4 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 4 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 8 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- ☆44Updated 5 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 5 years ago
- Deep Neural Decision Trees☆165Updated 3 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 3 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Tools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch☆36Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- ☆30Updated 7 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.☆14Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- ☆26Updated 6 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago