Saheed O. Bolarinwa 's repositories
basic-llvm-cmd
A basic command line project based on LLVM's Command Line tool
explore-llvm-mlir-tools
A series of projects to explore core tools used inside the LLVM/MLIR framework (e.g lit, FileCheck, TableGen, etc)
fpga-tutorial
Collection of basic Hardware design I am collecting while learning to program an FPGA
GPU-HPC_practices_projects
Practice projects mostly from HPC classes - GPU, OpenMP, MPI, etc
ImageProcessingCourse
I was a Teaching Assistant for this course: Advanced Image Processing Practice
KernelizeKClique
Parallel Implementation of some Kernelization algorithms specifically for solving K-Clique problems
simple-cpp-projects
A collection of C++ projects that are simple enough to bootstrap larger projects or just quickly validate some concepts
basic-cli-repl
A basic command line app REPL demo
basic-cli-util
A basic command line app demo using the cli11 library
basic-cmake-swig
This demo uses SWIG to create a Java Binding for a C/C++ library
basic-gtest
This repo demonstrates a basic C++ unit test with Google's gtest.
basic-llvm-lit-testing
A simple out-of-tree usage of [lit: LLVM Integrated Tester](https://llvm.org/docs/CommandGuide/lit.html)
basic-LLVM-passes
Basic LLVM Passes
cogstat
A simple to use statistical package.
generate-llvm-ir
Generate LLVM IR from C++
java-smt-stage
Just an helper repo, strictly to help with my workflow. Original project is here: https://github.com/sosy-lab/java-smt
linux-1
Linux kernel source tree
mlir-out-of-tree-dialect
An Out of Tree build of MLIR's official example Dialect
opensmt
The opensmt solver
PyQtCalculator
An attempt to mimic the Windows 7 calculator using QT in python
PySyft
A library for encrypted, privacy preserving machine learning
smtAutotune
Autotuning GPU Memory Access Patterns using SMT Solvers
syft.cpp
SOON TO BE DEPRECATED - A library for encrypted, privacy preserving machine learning
visitor-pattern
An Implementation of the "VISITOR" pattern in C++
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.