mlfoundations/MINT-1T

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Updated 4 months ago

mlfoundations/MINT-1T

mlfoundations

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MINT-1T: A one trillion token multimodal interleaved dataset.

open_clip

An open source implementation of CLIP.

open_flamingo

An open-source framework for training large multimodal models.

dclm

DataComp for Language Models

datacomp

DataComp: In search of the next generation of multimodal datasets

wise-ft

Robust fine-tuning of zero-shot models

open_lm

A repository for research on medium sized language models.

model-soups

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

task_vectors

Editing Models with Task Arithmetic

open-diffusion

Simple large-scale training of stable diffusion with multi-node support.

scaling

Language models scale reliably with over-training and on downstream tasks

Jupyter Notebook

patching

Patching open-vocabulary models by interpolating weights

VisIT-Bench

imagenet-captions

Release of ImageNet-Captions

tableshift

A benchmark for distribution shift in tabular data

clip_quality_not_quantity

rtfm

Research on Tabular Foundation Models

dataset2metadata

spark-commoncrawl

Jupyter Notebook

datacomp_site

tabliblib

A Python library for processing and filtering TabLib

webdataset-resharder

Efficiently process webdatasets

imagenet-applications-transfer

au21

Jupyter Notebook

advancedml-sp23