jiweiqi's Stars
pswpswpsw/paper-nif
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tum-pbs/PhiFlow
A differentiable PDE solving framework for machine learning
pytorch/functorch
functorch is JAX-like composable function transforms for PyTorch.
IvanYashchuk/jax-fenics
Differentiable interface to FEniCS for JAX
AndreWeiner/of_pytorch_docker
Dockerfile to create an image with OpenFOAM-plus and PyTorch support
google/jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
google/jax-cfd
Computational Fluid Dynamics in JAX
nusr/hacker-laws-zh
💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
boschresearch/torchphysics
ansys/pymapdl
Pythonic interface to MAPDL
Willcox-Research-Group/rom-operator-inference-Python3
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
DENG-MIT/StiffNet-Benchmark
Benchmark for learning stiff problems using physics-informed machine learning
patrick-kidger/torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
sanders41/sas7bdat-converter
Converts proprietary sas7bdat files from SAS into formats such as csv and XML useable by other programs. Currently supported conversiaions are csv, Excel (xlsx format), json, Pandas DataFrame, and XML.
facebookincubator/flowtorch
This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
wedeling/EasySurrogate
The VECMA toolkit for creating surrogate models of multiscale systems.
symerio/pgeocode
Postal code geocoding and distance calculation
googlemaps/google-maps-services-python
Python client library for Google Maps API Web Services
jiweiqi/IgnSens
Efficient approach for evaluating the sensitivity of ignition delay time. Implement with Cantera/Python
JuliaPy/PyCall.jl
Package to call Python functions from the Julia language
owid/covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
HajimeKawahara/exojax
🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and JAXopt
SciML/ReactionNetworkImporters.jl
Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
probabilistic-numerics/probnum
Probabilistic Numerics in Python.
nathanaelbosch/ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing