lucidrains

# link to package https://github.com/lucidrains/slot-attention

import torch
from torch import nn

class Residual(nn.Module):
    def __init__(self, fn):
        super().__init__()
        self.fn = fn
    def forward(self, x):

rchikhi

Wheeler graphs

Gagie, Manzini, Siren
Theoretical Computer Science, 2017
https://www.sciencedirect.com/science/article/pii/S0304397517305285

Notes of a whiteboard presentation to the Bonsai team in Lille.
These notes largely follow the paper.
Rayan Chikhi, 2019

matthiasdiener

#!/bin/bash

#
# Build GCC with support for offloading to NVIDIA GPUs.
#

set -o nounset -o errexit

# Location of the installed CUDA toolkit
cuda=/usr/local/cuda

lh3

#include <stddef.h>
#include <stdio.h>
#include <string.h>
#include "getopt.h"

char *optarg;
int optind=1, opterr=1, optopt, __optpos, optreset=0;

#define optpos __optpos

conspect

It's hard to quarrel with that ancient justification of the free press: "America's right to know." It seems almost cruel to ask, ingeniously, "America's right to know what, please? Science? Mathematics? Economics? Foreign languages?"

None of those things, of course. In fact, one might well suppose that the popular feeling is that Americans are a lot better off without any of that tripe.

There is a cult of ignorance in the United States, and there always has been. The strain of anti-intellectualism has been a constant thread winding its way throughout political and cultural life, nurtured by the false notion that democracy means that "my ignorance is just as good as your knowledge."

Politicians have routinely striven to speak the language of Shakespeare and Milton as ungrammaticaly as possible in order to avoid offending their audiences by appearing to have gone to school. Thus, Adlai Stevenson, who incautiously allowed intelligence and learning and wit to peep out of his speeches, found the American people

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

badboy

Original link: http://www.concentric.net/~Ttwang/tech/inthash.htm
Taken from: http://web.archive.org/web/20071223173210/http://www.concentric.net/~Ttwang/tech/inthash.htm
Reformatted using pandoc

Integer Hash Function

Thomas Wang, Jan 1997

last update Mar 2007

orlp

int64_t ipow(int64_t base, uint8_t exp) {
    static const uint8_t highest_bit_set[] = {
        0, 1, 2, 2, 3, 3, 3, 3,
        4, 4, 4, 4, 4, 4, 4, 4,
        5, 5, 5, 5, 5, 5, 5, 5,
        5, 5, 5, 5, 5, 5, 5, 5,
        6, 6, 6, 6, 6, 6, 6, 6,
        6, 6, 6, 6, 6, 6, 6, 6,
        6, 6, 6, 6, 6, 6, 6, 6,
        6, 6, 6, 6, 6, 6, 6, 255, // anything past 63 is a guaranteed overflow with base > 1

mblondel

% (C) Mathieu Blondel, July 2010

\documentclass[a4paper,10pt]{article}

\usepackage[english]{babel}
\usepackage[T1]{fontenc}
\usepackage[ansinew]{inputenc}

\usepackage{lmodern}
\usepackage{amsmath}