torchquad
pennylane
torchquad | pennylane | |
---|---|---|
1 | 3 | |
164 | 2,124 | |
5.5% | 1.9% | |
5.8 | 9.8 | |
15 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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
-
what methods can be used to solve a TP-BVP with variable control?
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.
pennylane
- PennyLane: Python library for differentiable programming of quantum computers
-
Library for Machine learning and quantum computing
Pennylane
- 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
What are some alternatives?
ivy - The Unified AI Framework
qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators
fast-cma-es - A Python 3 gradient-free optimization library
ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering
Ascent - A fast and flexible C++ simulation engine and differential equation solver.
Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]