mathurinm / example_packageLinks
☆13Updated 4 months ago
Alternatives and similar repositories for example_package
Users that are interested in example_package are comparing it to the libraries listed below
Sorting:
- Fast and modular sklearn replacement for generalized linear models☆173Updated last week
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- ☆26Updated 4 months ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆122Updated last week
- Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21☆18Updated 3 months ago
- Hyperbolic PCA via Horospherical Projections☆71Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 11 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆41Updated last month
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆118Updated 4 months ago
- A Python package for intrinsic dimension estimation☆89Updated last month
- Repository for CARTE: Context-Aware Representation of Table Entries☆127Updated 2 months ago
- Multi-task regression in Python☆25Updated 4 years ago
- A didactic Python library with well-commented and annotated implementations of machine learning algorithms.☆54Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆79Updated this week
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆87Updated 3 months ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- A framework for conducting machine learning experiments in python☆40Updated 5 months ago
- A Python package for General Graphical Lasso computation☆35Updated 3 months ago
- Advanced random forest methods in Python☆57Updated last year
- L1-regularized least squares with PyTorch☆68Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- TorchDR - PyTorch Dimensionality Reduction☆115Updated last week
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- ☆51Updated 10 months ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆77Updated last year
- Data Augmentation with Variational Autoencoders (TPAMI)☆140Updated 2 years ago