josephsalmon / HAX712XLinks
Software dev. for data science (Python)
☆14Updated 2 months ago
Alternatives and similar repositories for HAX712X
Users that are interested in HAX712X are comparing it to the libraries listed below
Sorting:
- Python package to fetch data from the LIBSVM website.☆20Updated 2 months ago
- Making your benchmark of optimization algorithms simple and open☆264Updated this week
- Benchopt benchmark for Lasso☆14Updated last year
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆130Updated this week
- ☆13Updated 5 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆618Updated last week
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 4 months ago
- Fast and modular sklearn replacement for generalized linear models☆177Updated last week
- Large-scale, multi-GPU capable, kernel solver☆190Updated last year
- Gaussian processes in JAX and Flax.☆521Updated 3 weeks ago
- ☆15Updated 2 years ago
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆12Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 4 months ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆228Updated last month
- Proximal optimization in pure python☆118Updated 3 years ago
- Modular and scalable computational imaging in Python with GPU/out-of-core computing.☆135Updated 3 months ago
- Newton and Quasi-Newton optimization with PyTorch☆354Updated last month
- Laplace approximations in JAX.☆21Updated last week
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Compositional Linear Algebra☆478Updated last month
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆41Updated last month
- IVON optimizer for neural networks based on variational learning.☆68Updated 8 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆437Updated last month
- High-order spline interpolation in PyTorch☆67Updated 10 months ago
- ☆21Updated last year
- ☆26Updated 5 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- Materials of the Nordic Probabilistic AI School 2024.☆66Updated last year
- All the submission scripts used for my work on Jean Zay and the TGCC☆14Updated 2 years ago
- The tiniest of Gaussian Process libraries☆313Updated last week