Python package to sample from determinantal point processes
☆18Jul 20, 2015Updated 10 years ago
Alternatives and similar repositories for dpp
Users that are interested in dpp 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 implementation of DPP sampling☆14Nov 4, 2024Updated last year
- A collection of DPP code and other diverse sampling algorithms☆10Nov 12, 2014Updated 11 years ago
- Determinantal Point Processes in Python (NumPy)☆24Jul 5, 2017Updated 8 years ago
- Determinantal point processes for basket recommendations☆16Jan 15, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian quadrature☆13Apr 20, 2017Updated 9 years ago
- BISON: Binary Image SelectiON☆50Sep 15, 2021Updated 4 years ago
- Theano☆11Aug 26, 2017Updated 8 years ago
- Variational Factorization Machines☆17Dec 20, 2016Updated 9 years ago
- Some code for tutorials following https://gym.openai.com/docs/rl☆15Jul 3, 2016Updated 10 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Nov 2, 2017Updated 8 years ago
- a very fast parser for sparse matrix at libsvm format☆10Nov 13, 2017Updated 8 years ago
- akid is a python package written for doing research in Neural Network.☆14Mar 24, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 9 years ago
- Unofficial Torch ECOS bindings to solve linear programs (LPs) and second-order cone programs (SOCPs).☆16Jul 18, 2016Updated 9 years ago
- ☆15Jan 11, 2019Updated 7 years ago
- Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via En…☆12Nov 10, 2023Updated 2 years ago
- ☆10Jul 5, 2016Updated 9 years ago
- Modular Probabilistic Programming on MXNet☆105Apr 10, 2023Updated 3 years ago
- A Toolkit for creating Peripheral Architectures (NIPS 2016)☆26Sep 7, 2017Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Feb 23, 2021Updated 5 years ago
- The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".☆12Mar 18, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Sep 29, 2016Updated 9 years ago
- A collection of Torch dataset loaders☆51Nov 1, 2016Updated 9 years ago
- My PhD Thesis☆22May 13, 2016Updated 10 years ago
- A book on the applications of topic models.☆15Jul 7, 2017Updated 8 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Jan 15, 2022Updated 4 years ago
- Deep Learning DTU summer school 2015☆23Apr 15, 2016Updated 10 years ago
- Easily beautify your logs with a drop-in replacement for the print function.☆27Apr 13, 2018Updated 8 years ago
- A TensorFlow Implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆13Mar 18, 2019Updated 7 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Jun 17, 2019Updated 7 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆12Nov 21, 2023Updated 2 years ago
- Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:☆82Feb 15, 2023Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- A Thrift codec for Torch☆30Oct 21, 2021Updated 4 years ago
- Notes for Deep Learning Papers☆19Sep 21, 2018Updated 7 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Oct 12, 2013Updated 12 years ago