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alphafold

Open source code for AlphaFold.

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

bdl-benchmarks

Bayesian Deep Learning Benchmarks

blog

botorch

Bayesian optimization in PyTorch

cec2022-hclo

dash-sample-apps

Apps hosted in the Dash Gallery

datasciencecoursera

datasciencecoursera

datasharing

The Leek group guide to data sharing

deepbsde

Deep BSDE solver in TensorFlow

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepxde

Deep learning library for solving differential equations and more

enm531

fastai

The fastai deep learning library, plus lessons and tutorials

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

fealpy

Finite Element Analysis Library in Python

flow

Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ

flow-test

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

github-slideshow

A robot powered training repository :robot:

gpflow

Gaussian processes in TensorFlow

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graph-pde

Using graph network to solve PDEs

h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hfm

Hidden Fluid Mechanics

idrl-p

💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.

idrl-pages

idrlnet