dsilvestro / npBNN
Bayesian neural networks using Numpy and Scipy
☆11Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for npBNN
- Readme.md☆13Updated last year
- Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch☆11Updated 3 years ago
- The notebooks used to demonstrate the blog post about Interpretability in ML☆12Updated 4 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Updated 3 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- Predicting demand for public transportation in Nairobi☆15Updated 6 years ago
- ☆9Updated 4 years ago
- Developed predictive models for crime rate, to help the Bureau and police departments around the country to better focus their resources …☆12Updated 7 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆28Updated 3 years ago
- This is a web-based application that allows users to manage information about food, restaurants, and menus. It allows users to create, re…☆10Updated 5 months ago
- Slides and Code for the first AI4People workshop on the 8.+9. August 2020.☆14Updated 3 years ago
- Deep Learning for Climate☆12Updated 6 years ago
- CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL☆11Updated 7 years ago
- Deploy a scikit model using heroku and Flask☆14Updated last year
- Active Learning using Multi Label Image Dataset☆14Updated 5 years ago
- A Keras-compatible generator for creating balanced batches☆15Updated 8 months ago
- ☆16Updated 2 years ago
- Spatio-Temporal Modeling of Check-ins in Location-Based Social Networks☆10Updated 5 years ago
- Introduction Notebook to Extreme Multi-Label Classification problem (XML)☆23Updated 6 years ago
- Pytorch Implementation of Lightweight and robust representation of economic scales from satellite imagery.☆13Updated 5 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆15Updated last year
- Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences at UMBC☆13Updated 2 years ago
- Prediction of crop yields based on climate variables using machine learning algorithms☆11Updated last year
- Autoencoder network for imputing missing values☆26Updated 5 years ago
- Bayesian Hierarchical clustering in python☆18Updated 7 years ago
- Contextual Explanation Networks (CEN).☆11Updated 4 years ago
- Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".☆13Updated 2 years ago
- understanding kl divergence using 1D Gaussians☆14Updated 5 years ago
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Updated 5 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago