iamollas / Explainable_ML_Meetup
Explainable Machine Learning (Thessaloniki Machine Learning Meetup)
☆10Updated 5 years ago
Alternatives and similar repositories for Explainable_ML_Meetup
Users that are interested in Explainable_ML_Meetup are comparing it to the libraries listed below
Sorting:
- A Python Library for Similarity-based Dimensionality Reduction☆29Updated 6 years ago
- Collection of notebooks exploring conv nets in detail.☆10Updated 7 years ago
- Autoencoder network for imputing missing values☆27Updated 6 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Updated 8 years ago
- Forecasting library in python☆13Updated 5 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- ☆14Updated 7 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19Updated 5 years ago
- Generating time series from a range of dynamical systems☆17Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- neural network based grid layout☆26Updated 4 years ago
- Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations☆17Updated 4 years ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 7 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- Machine Learning package allowing faster cross-validation☆18Updated 5 years ago
- Stats 479 Project☆22Updated 6 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 6 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- A list of deep learning and general AI papers for computational narratologists☆34Updated 5 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 5 years ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆25Updated 2 years ago
- Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series☆10Updated 2 years ago