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adcme-customop-example

adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

adcmekit.jl

Make Inverse Modeling Easy!

adcmeslides

Storing all slides for ADCME

adept-2

Combined array and automatic differentiation library in C++

adfem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

adseismic.jl

A General Approach to Seismic Inversion Problems using Automatic Differentiation

bazel-example

An example for bazel

bt

bt - flexible backtesting for Python

cifar-10-data-augmentation

Cifar-10 Dataset and Data Augmentation for TensorFlow and Keras in Python.

deeplearning

documenter.jl

A documentation generator for Julia.

factory

Code in factory mode

h2lib

H2Lib public repository

had

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

hmatrix.jl

Hmatrix in Julia

hypre

Parallel solvers for sparse linear systems featuring multigrid methods.

jfvm.jl

A simple finite volume tool for Julia

lagrange

A minimalist Jekyll theme for running a personal blog

levynn.jl

Calibrating Lévy Processes with Neural Networks

libhelloworld

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

mfem

Lightweight, general, scalable C++ library for finite element methods

mpi_benchmark

MPI benchmark to test and measure collective performance

mpi_demo

mypackage

A simple template for making Python packages with C/C++ extensions

nnfem.jl

Neural Network Approach for Data-Driven Constitutive Modeling

nnpde

CS230 Project: Deep Learning for PDE

optimization

Code project for optimization