pyhpc-benchmarks VS torchquad

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

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
Source Code
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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 torchquad
6 1
301 164
- 3.7%
3.2 5.8
4 months ago 10 days ago
Python Python
The Unlicense GNU General Public License v3.0 only
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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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.

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.

What are some alternatives?

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

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

ivy - The Unified AI Framework

pyopencl - OpenCL integration for Python, plus shiny features

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

sqloxide - Python bindings for sqlparser-rs

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.

MATDaemon.jl

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

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

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