auto-differentiation / xad-pyLinks
High-Performance Automatic Differentiation for Python
☆19Updated last year
Alternatives and similar repositories for xad-py
Users that are interested in xad-py are comparing it to the libraries listed below
Sorting:
- Multi-dimensional B-splines☆35Updated 2 months ago
- Estimate derivatives with finite differences☆17Updated last year
- Numeric and scientific computing on GPUs for Python with a NumPy-like API☆93Updated 4 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆45Updated last week
- Common API (C++ and Python) for Fast Fourier Transform HPC libraries (publish-only mirror)☆11Updated last month
- Fast risks with QuantLib in C++☆34Updated last week
- C++ code for a reversible jump Markov chain Monte Carlo algorithm to sample changepoints☆16Updated 6 years ago
- A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, Ad…☆54Updated 3 years ago
- Smolyak sparse grid interpolation sandbox☆24Updated 2 years ago
- Smooth data fitting in N dimensions.☆55Updated 2 years ago
- C++ genetic algorithms scientific library☆15Updated 2 years ago
- SymPy code generation tutorial at SciPy 2017☆66Updated 8 years ago
- A hierarchical matrix C/C++ library☆25Updated last week
- Python interface to the QDLDL (https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems☆15Updated 2 weeks ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆124Updated 4 months ago
- Python binding for odeiv2 interface from GNU Scientific Library (GSL)☆14Updated 5 months ago
- OptimPack is a library for large optimization problems.☆37Updated 10 months ago
- Lectures for the SC3260 HPC course at Vanderbilt☆19Updated 5 years ago
- SymPP: A Symbolic Library that compiles itself☆13Updated 5 years ago
- A library for high-level algorithmic differentiation☆19Updated last month
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆22Updated last year
- Fused multiply-add (with a single rounding) for Python.☆20Updated last year
- Probabilistic Response mOdel Fitting with Interactive Tools☆15Updated last week
- FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.☆118Updated 2 years ago
- VIGRA2 based on xtensor☆10Updated 7 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆36Updated 2 years ago
- An open access book on scientific visualization using python and matplotlib☆20Updated 3 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 7 years ago
- time-dependent Hamilton-Jacobi PDEs (http://www.cs.columbia.edu/~cxz/TimeDepHJB/)☆15Updated 8 years ago
- Examples and demos showing how to call functions from the nAG Library for Python☆68Updated last year