stanford-futuredata Goto Github PK

loa

Public code for LOA

macrobase

MacroBase: A Search Engine for Fast Data

macrobase-cpp

megatron-lm

Ongoing research training transformer models at scale

mlperf-results

Public results

momentsketch

Simplified Moment Sketch Implemntation

msketch

Moments Sketch Code

noscope

Accelerating network inference over video

offload-annotations

A new approach for bringing heterogeneous computing to existing libraries and workloads.

omg

optimus-maximus

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search

parallel-lb-simulator

pop

Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021

pop-ncflow

Code for POP (SOSP 2021) and NCFlow (NSDI 2021)

pytorch-distributed

Fork of diux-dev/imagenet18

readinggroup

redisgeo-bench

Simple benchmark for Redis geosets for top-k queries.

selection-via-proxy

sinkhorn-label-allocation

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

sketchstore

Algorithms for compressing and merging large collections of sketches

smol

sparsejointshift

Model Performance Estimation and Explanation When Labels and A Few Features Shifts

sparser

Sparser: Raw Filtering for Faster Analytics over Raw Data

ssd-benchmarking

Caffe: a fast open framework for deep learning.

stk

supg

swag-python

Situationally aWAre decodinG

tasti

Semantic Indexes for Machine Learning-based Queries over Unstructured Data (SIGMOD 2022)

teavar

tensorflow-noscope

Computation using data flow graphs for scalable machine learning