Baba-yara's Projects
A set of Fortran Functions I call from R relevant for Academic Finance Research
Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)
An optimizer that trains as fast as Adam and as good as SGD in Tensorflow
A Python implementation of global optimization with gaussian processes.
BlackScholes Model, with Montecarlo implmented in python with TensorFlow
Light-weight verification and transformation tools for Fortran. See http://camfort.github.io
Sample files to accompany the FT's Chart Doctor column
CHiLL development repository
super-scripts provide parameterized access to CHiLL's composable loop transformations
A repo for submitting my peer review assignment for the Getting and Cleaning Data course on coursera
Compilation of R and Python programming codes
Convolutional Gaussian processes based on GPflow.
A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.
Example code of simple things one can do with our open-source asset pricing data
Course P2.2 of Master HPC; CUDA, Fortran
Contains algorithm intended to run on GPU.
CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.
datasciencecoursera
The Leek group guide to data sharing
R notebooks for the code samples of the book "Deep Learning with R"
Deep BSDE solver in TensorFlow