Determinantal Point Processes in Python (NumPy)
☆24Jul 5, 2017Updated 8 years ago
Alternatives and similar repositories for determinantal-point-processes
Users that are interested in determinantal-point-processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Determinantal point process☆18Sep 16, 2015Updated 10 years ago
- Python package to sample from determinantal point processes☆18Jul 20, 2015Updated 10 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv pr…☆14Jul 25, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A python package for sampling from determinantal point processes☆36Oct 28, 2018Updated 7 years ago
- Bayesian optimization with the Gaussian process assumption☆30Apr 25, 2016Updated 9 years ago
- Video retrieval from query images☆11Oct 10, 2017Updated 8 years ago
- A python implementation of tile coding using numpy.☆11May 13, 2017Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Jul 3, 2019Updated 6 years ago
- Code Release for ICML 2024: MS-TIP - Imputation Aware Pedestrian Trajectory Prediction☆20Apr 17, 2025Updated 11 months ago
- Python toolbox for sampling Determinantal Point Processes☆236Aug 14, 2024Updated last year
- randomized SVD with single pass over data matrix☆10Apr 23, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official implementation of Spectro-Riemannian Graph Neural Networks (ICLR 2025)☆17May 30, 2025Updated 9 months ago
- ☆16May 1, 2011Updated 14 years ago
- Transfer Learning☆10Aug 3, 2018Updated 7 years ago
- Word-level sequence to sequence RNN for translation☆10Apr 7, 2017Updated 8 years ago
- ☆16Dec 11, 2022Updated 3 years ago
- ☆13Aug 27, 2023Updated 2 years ago
- This repository is for the paper of ICSE 2023: Regression Fuzzing for Deep Learning Systems☆12Feb 21, 2024Updated 2 years ago
- Exercises from the Fall 2023 Algolab course at ETH Zürich☆23Jan 8, 2025Updated last year
- Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converte…☆13Nov 3, 2017Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Matlab Evaluation codes for the 2nd CAFA experiment☆14Nov 27, 2023Updated 2 years ago
- ☆17Jul 31, 2024Updated last year
- A tool to help understand how GNN/BERT works by attention☆15Jul 5, 2020Updated 5 years ago
- Paper: inexact GMRES with fast multipole method and low-p relaxation☆11Aug 23, 2023Updated 2 years ago
- The uncompromising Jupyter notebook formatter.☆14Jan 26, 2024Updated 2 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated last year
- ☆37May 15, 2025Updated 10 months ago
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Learning how to ride a bicycle using reinforcement learning.☆13Dec 11, 2013Updated 12 years ago
- Time-series Aware Precision and Recall for Evaluating Anomaly Detection Methods☆17Dec 21, 2021Updated 4 years ago
- ☆27Aug 27, 2025Updated 6 months ago
- ☆11Mar 26, 2019Updated 7 years ago
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- ☆12Jun 14, 2019Updated 6 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago