RenatoGeh / gospnLinks
A free, open-source inference and learning library for Sum-Product Networks (SPN)
☆24Updated 6 years ago
Alternatives and similar repositories for gospn
Users that are interested in gospn are comparing it to the libraries listed below
Sorting:
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 3 months ago
- Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linea…☆55Updated 4 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆20Updated 3 years ago
- Symbolic regression library☆61Updated 7 years ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 5 years ago
- ☆15Updated 6 years ago
- Package for estimating the entropy of a mixture distribution☆15Updated 8 years ago
- Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".☆19Updated 7 years ago
- ☆17Updated 4 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- ☆18Updated 7 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Updated 7 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)☆107Updated 7 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 12 years ago
- A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.☆50Updated last year
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".☆40Updated 8 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆67Updated 7 years ago
- Probabilistic Programming eXecution protocol (PPX)☆76Updated 3 years ago
- A deep learning library for Julia based on Caffe☆33Updated 10 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- liblinear bindings for Go☆45Updated 7 years ago