Reverse Dependencies of jaxopt

The following projects have a declared dependency on jaxopt:

• autopdex — An automized PDE solver for accelerators based on JAX
• bayeux-ml — Stitching together probabilistic models and inference.
• benchmarx — Tools for benchmarking optimization methods
• bfbrain — Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
• blackjax — Flexible and fast sampling in Python
• blackjax-nightly — Flexible and fast sampling in Python
• brax — A differentiable physics engine written in JAX.
• chemtrain — Machine-learning deep molecular dynamics potentials.
• coreax — Jax coreset algorithms.
• diffaaable — JAX-differentiable AAA algorithm
• diffilqrax — Differentiable iLQR algorithm for dynamical systems
• diffopt — Parallelization and optimization of Jax models
• dilax — Differentiable (binned) likelihoods in JAX.
• dMO — A package for learning cutting planes for mixed-integer optimization problems.
• evermore — Differentiable (binned) likelihoods in JAX.
• exojax — Auto-differentiable line-by-line spectral modeling of exoplanets/brown dwarfs using JAX.
• gnep-learn — gnep-learn - A Python package for learning-based solutions of generalized Nash equilibrium problems.
• google-vizier — Open Source Vizier: Distributed service framework for blackbox optimization and research.
• google-vizier-dev — Open Source Vizier: Distributed service framework for blackbox optimization and research.
• GPJax — Gaussian processes in JAX.
• halospec — Halo Spectroscopy for JWST/MIRI
• holisticai — no summary
• horqrux — Jax-based quantum state vector simulator.
• icomo — This toolbox aims to simplify the construction of compartmental models and the inference of their parameters
• jax-control-algorithms — Algorithms for state estimation, control, and system identification in JAX
• jax-dips — Differentiable 3D interfacial PDE solvers written in JAX using the Neural Bootstrapping Method.
• jax-fdm — Auto-differentiable and hardware-accelerated force density method
• jax-russell — Financial options valuations and auto-diffed risk measures ("greeks" in Jax.
• jax-sysid — jax-sysid - A Python package for linear and nonlinear system identification and nonlinear regression using Jax.
• jaxlem — LEM slope stability analysis using JAX
• jaxoplanet — Probabilistic models for exoplanet inference in JAX
• jaxspec — jaxspec is a bayesian spectral fitting library for X-ray astronomy.
• jinns — Physics Informed Neural Network with JAX
• jkepler — jax tools for modeling Keplerian orbits
• jsrm — Kinematic and dynamic models of continuum and articulated soft robots.
• levy-stable-jax — Implementation of the Lévy alpha-stable distributions for Jax.
• mellon — Non-parametric density estimator.
• mjinx — Numerical Inverse Kinematics based on JAX + MJX
• mujoco_controllers — A repository for debugging controller implementations applied to mujoco models.
• multidms — Joint modeling of multiple deep mutational scanning experiments.
• nemos — NEural MOdelS, a statistical modeling framework for neuroscience.
• nuance — Transit signals detection among correlated noises
• numpyro-ext — A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work
• ott-jax — Optimal Transport Tools in JAX
• prfr — Probabilitic random forest regression algorithm
• pycollimator — Collimator.ai core simulation engine and API client
• pymultipleis — A library for fitting a sequence of electrochemical impedance spectra (JAX version).
• python-somax — SOMAX: Second-Order Methods for Machine Learning in JAX
• qadence — Pasqal interface for circuit-based quantum computing SDKs
• qarray — Qarray, a GPU accelerated quantum dot array simulator, leveraging parallelised Rust and JAX XLA acceleration
• queuinx — Queuinx: A library for performance evaluation in Jax
• relaxed — Differentiable versions of common HEP operations.
• SpotDIPy — An Easy Way for Stellar Doppler Imaging of Cool Single Stars
• stamox — Accelerate Your Statistical Analysis with JAX.
• starred-astro — A two-channel deconvolution method with Starlet regularization
• stories-jax — Learn spatially informed Waddington-like potentials for single-cell gene expression
• supergrad — SuperGrad differentiable Hamiltonian simulator
• tinygp — The tiniest of Gaussian Process libraries
• TorchOpt — An efficient library for differentiable optimization for PyTorch.
• TorusImaging — Inferring the Galactic mass distribution with stellar labels
• vqepy — An open source Python package for molecular and condensed matter VQE research
• zfista — A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization