torchquad VS pyhpc-benchmarks

Compare torchquad vs pyhpc-benchmarks and see what are their differences.

torchquad

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX (by esa)
Python GPU Pytorch torchquad numerical-integration multidimensional-integration Integration automatic-differentiation high-performance-computing monte-carlo-integration vegas vegas-enhanced Machine Learning
Source Code
esa.int
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pyhpc-benchmarks

A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket: (by dionhaefner)
Benchmarks Python Tensorflow Pytorch Jax cupy parallel-computing high-performance-computing GPU
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torchquad pyhpc-benchmarks
1 6
164 301
5.5% -
5.8 3.2
15 days ago 4 months ago
Python Python
GNU General Public License v3.0 only The Unlicense
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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torchquad

Posts with mentions or reviews of torchquad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.
  • what methods can be used to solve a TP-BVP with variable control?
    3 projects | /r/optimization | 17 Feb 2023
    What about combining a fast numerical integrator like https://github.com/esa/torchquad or https://github.com/AnyarInc/Ascent with a fast parallel CMA-ES implementation like https://github.com/dietmarwo/fast-cma-es/blob/master/fcmaes/cmaescpp.py ? A numerical integrator allows you to implement variable control and a fast non-derivative optimizer can solve any related optimization problem.

pyhpc-benchmarks

Posts with mentions or reviews of pyhpc-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-05.

What are some alternatives?

When comparing torchquad and pyhpc-benchmarks you can also consider the following projects:

ivy - The Unified AI Framework

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

fast-cma-es - A Python 3 gradient-free optimization library

pyopencl - OpenCL integration for Python, plus shiny features

pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

sqloxide - Python bindings for sqlparser-rs

Ascent - A fast and flexible C++ simulation engine and differential equation solver.

MATDaemon.jl

3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

XLA.jl - "Maybe we have our own magic."

XLA.jl - Julia on TPUs

torchquad vs ivy pyhpc-benchmarks vs tf-quant-finance torchquad vs fast-cma-es pyhpc-benchmarks vs pyopencl torchquad vs pennylane pyhpc-benchmarks vs sqloxide torchquad vs Ascent pyhpc-benchmarks vs MATDaemon.jl torchquad vs tf-quant-finance pyhpc-benchmarks vs 3d-ken-burns pyhpc-benchmarks vs XLA.jl pyhpc-benchmarks vs XLA.jl