concept-inversion

C-SAW

A Framework for Graph Sampling and Random Walk on GPUs.

H-INDEX_Triangle_Counting

GPU-accelerated-ML-simulation

GPU-accelerated ML-based micro-architecture simulation.

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

AcceleratingGNNs

basic_algoC-Cplus-CPU-GPU

Cache-Simulator-Computer-Architecture

CAD-Lab-2-

code-samples

Source code examples from the Parallel Forall Blog

concept-inversion

Config files for my GitHub profile.

concept-inversion.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

concept-inversion1.github.io

CPE593

Deep-Learning-Experiments

Notes and experiments to understand deep learning concepts

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

General_Pipeline_Simulation

Graph-Learning

Graph-Matching-with-Machine-Learning

learnopencv

Learn OpenCV : C++ and Python Examples

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

MLGPUSim

A ML framework to predict the performance of contemporary GPUs.

mpi_cuda

Multi-Layer-perceptron-parallel-cuda

Python-AC3-Backtracking-CSP-Sudoku-Solver

Python implementation of a sudoku puzzle solver (CSP) using AC3 and backtracking algorithms

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch

researchHOWTO

Slides about how to do research

simd-x

SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]

TC

Transformer_with_pytorch

Implementing transformer with pytorch.