Showing 5 open source projects for "open-source tax solver"

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  • 1
    POT

    POT

    Python Optimal Transport

    This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.
    Downloads: 34 This Week
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  • 2
    Diffrax

    Diffrax

    Numerical differential equation solvers in JAX

    Diffrax is a numerical differential equation solving library built for the JAX ecosystem, with a strong focus on composability, differentiability, and high-performance scientific computing. The project provides tools for solving ordinary differential equations, stochastic differential equations, controlled differential equations, and related systems in a way that fits naturally into modern machine learning and differentiable programming workflows. Because it is written to work closely with...
    Downloads: 0 This Week
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  • 3
    DPM-Solver

    DPM-Solver

    Fast ODE Solver for Diffusion Probabilistic Model Sampling

    DPM-Solver is a machine learning research implementation focused on accelerating the sampling process in diffusion probabilistic models used for generative AI tasks. Diffusion models are powerful generative systems capable of producing high-quality images and other data, but traditional sampling methods often require hundreds or thousands of computational steps. The project introduces a specialized numerical solver designed to approximate the diffusion process using a small number of...
    Downloads: 0 This Week
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  • 4
    PyTorch Implementation of SDE Solvers

    PyTorch Implementation of SDE Solvers

    Differentiable SDE solvers with GPU support and efficient sensitivity

    This library provides stochastic differential equation (SDE) solvers with GPU support and efficient backpropagation. examples/demo.ipynb gives a short guide on how to solve SDEs, including subtle points such as fixing the randomness in the solver and the choice of noise types. examples/latent_sde.py learns a latent stochastic differential equation, as in Section 5 of [1]. The example fits an SDE to data, whilst regularizing it to be like an Ornstein-Uhlenbeck prior process. The model can be...
    Downloads: 0 This Week
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  • 5
    anaGo

    anaGo

    Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition

    anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes...
    Downloads: 0 This Week
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