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5443-data-mining

Data Mining / Machine Learning concepts

a-to-z-resources-for-students

✅ Curated list of resources for college students

abft-sparse-cg

Simple sparse matrix CG solver for experimenting with ABFT techniques

ai-reading-list

Up to date list of the most interesting papers in AI

ams526

amx-guide

Advanced Matrix Extensions (AMX) Guide

apnn-tc

ares

Ares: A framework for quantifying the resilience of deep neural networks

artificial

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-distributed-deep-learning

A curated list of awesome Distributed Deep Learning resources.

awesome-fairness-papers

Papers on fairness in NLP

benchmark_spmv_using_csr5

CSR5-based SpMV on CPUs, GPUs and Xeon Phi

benchmarks

Benchmark code

bicgstab

bigbird

Transformers for Longer Sequences

brancprediction-computerarchitectureproject

bricklib

Distributed Performance-portable Stencil Compuitation

bubblesproject

Bilkent CS319 Course Project

caffe

Caffe: a fast open framework for deep learning.

caffe-1

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

ce7454_2019

Deep learning course CE7454, 2019

cg-invariantchecking

cg-new

challenge

The OpenMP SC14 Code Challenge

clustering-community-detection

Java Implementation of the following algorithoms: Hierarchical Clustering ( Single/Complete/Average Linkage), K-Means, Nearest Neighbor Clustering and Shortest Path betweeness for graph modularity.