torchquad VS Ascent

Compare torchquad vs Ascent 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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Ascent

A fast and flexible C++ simulation engine and differential equation solver. (by AnyarInc)
differential-equations simulation-framework Simulation Engine ascent simulation-toolkit odeint
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torchquad Ascent
1 1
164 114
5.5% 2.6%
5.8 0.0
15 days ago over 1 year ago
Python C++
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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.

Ascent

Posts with mentions or reviews of Ascent. 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 torchquad and Ascent you can also consider the following projects:

ivy - The Unified AI Framework

uwv-simulator - A underwater vehicle simulation test-bed with SAUVC swimming pool environment with 6-vectored thruster configuration vehicle operating in remote controlled and autonomous mode.

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

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.

FreeFem-sources - FreeFEM source code

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

CoreNeuron - Simulator optimized for large scale neural network simulations.

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

sofa - Real-time multi-physics simulation with an emphasis on medical simulation.

engine-sim - Combustion engine simulator that generates realistic audio.

torchquad vs ivy Ascent vs uwv-simulator torchquad vs fast-cma-es Ascent vs fast-cma-es torchquad vs pennylane Ascent vs FreeFem-sources torchquad vs tf-quant-finance Ascent vs CoreNeuron torchquad vs pyhpc-benchmarks Ascent vs sofa Ascent vs engine-sim