Discover stanford-futuredata/training_on_a

MacroBase: A Search Engine for Fast Data

2,998

macrobase

Automated Evaluation of RAG Systems

661

ARES

Accelerating network inference over video

460

noscope

Sparser: Raw Filtering for Faster Analytics over Raw Data

434

sparser

427

dawn-bench-entries

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

ASAP: Prioritizing Attention via Time Series Smoothing

257

ASAP

FrugalGPT: better quality and lower cost for LLM applications

184

FrugalGPT

Simple baselines for "Learned Indexes"

167

index-baselines

HTML

156

FAST

End-to-end earthquake detection pipeline via efficient time series similarity search

Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020

144

gavel

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

124

equivariant-transformers

stk

selection-via-proxy

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.

sinkhorn-label-allocation

readinggroup

cs145-2017

Willump Is a Low-Latency Useful Machine learning Platform.

Willump

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

Baleen

msketch

Moments Sketch Code

A runtime implementation of data-parallel actors.

Uniserve

Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).

wmsketch

dawn-bench-models

Simplified Moment Sketch Implemntation

momentsketch

Its BlazeIt because it's blazing fast

blazeit

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

optimus-maximus

state-of-the-art search over vector embeddings and structured data (SIGMOD '24)

ACORN

2AD analysis prototype and logs from sample applications

acidrain

lit-code

Code for LIT, ICML 2019

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

POP

loa

omg

pytorch-distributed

Fork of diux-dev/imagenet18

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

tasti

Student files for CS245 Programming Assignment 1: In-memory data layout

cs245-as1

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

offload-annotations

Willump Is a Low-Latency Useful Machine learning Platform.

Willump-Simple

Durable transactions assignment for CS245

cs245-as3-public

Accelerating Aggregation Queries on Unstructured Streams of Data

InQuest

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

cs245-as2-public

Scala

SparseJointShift

DROP

Repository for tKDE Experiments

tKDC

Algorithms for compressing and merging large collections of sketches

sketchstore

parallel-lb-simulator

CrossTrainer: Practical Domain Adaptation with Loss Reweighting

crosstrainer

smol

supg

fast-tree

abae

Accelerating Approximate Aggregation Queries with Expensive Predicates (VLDB 21)

Automated Lower Bounds on the I/O Complexity of Computation Graphs

graphIO

Why Rust presentation at FutureTea, 3/13

futuretea-whyrust

Rust

ezmode

An iterative algorithm for selecting rare events in large, unlabeled datasets

Applying Willump design to deep feature synthesis

willump-dfs

fexipro-benchmarking

Situationally aWAre decodinG

macrobase-cpp

swag-python