desolver
ivy
desolver | ivy | |
---|---|---|
2 | 1 | |
17 | 10,475 | |
- | - | |
0.0 | 10.0 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
desolver
-
Looking for some advice on how to solve this system of PDEs in Python. I discretised the spatial domain using the method of lines, leaving just a system of ODEs with time derivatives. I would like to solve these ODEs at all positions and times using an integrator like ODEint or solve_ivp
Oh yeah, it's downloadable from pypi too. Here's the link to the source code: https://github.com/microno95/desolver
-
A 1 Minute Double Pendulum Video For Your Viewing Pleasure (made using Python and DESolver)
Made using the DESolver python library I developed by adding algebraic equation solving to the implicit Runge-Kutta solvers. Works by taking a consistent set of differential and algebraic equations and solving them simultaneously at each timestep.
ivy
-
Need internship/part time role in AI/ML/Data Science field.
As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.
What are some alternatives?
fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
mpmath - Python library for arbitrary-precision floating-point arithmetic
tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
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.
tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
leptonai - A Pythonic framework to simplify AI service building
PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning
bayesian-neural-network-pytorch - PyTorch implementation of bayesian neural network.
robot - Functions and classes for gradient-based robot motion planning, written in Ivy.