@mlfoundations
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mlfoundations

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  • Stars
    star
    13,592
  • Global Org. Rank 1,666 (Top 0.6 %)
  • Registered almost 3 years ago
  • Most used languages
    Python
         73.7 %
    Jupyter Notebook
         15.8 %
    CSS
         5.3 %
    HTML
         5.3 %

Top repositories

1

open_clip

An open source implementation of CLIP.
Jupyter Notebook
8,364
star
2

open_flamingo

An open-source framework for training large multimodal models.
Python
3,493
star
3

datacomp

DataComp: In search of the next generation of multimodal datasets
Python
547
star
4

wise-ft

Robust fine-tuning of zero-shot models
Python
528
star
5

model-soups

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Python
370
star
6

task_vectors

Editing Models with Task Arithmetic
Python
319
star
7

open_lm

A repository for research on medium sized language models.
Python
312
star
8

open-diffusion

Simple large-scale training of stable diffusion with multi-node support.
Python
109
star
9

patching

Patching open-vocabulary models by interpolating weights
Python
81
star
10

VisIT-Bench

Python
44
star
11

imagenet-captions

Release of ImageNet-Captions
39
star
12

clip_quality_not_quantity

Python
22
star
13

tableshift

A benchmark for distribution shift in tabular data
Python
22
star
14

dataset2metadata

Python
17
star
15

spark-commoncrawl

Jupyter Notebook
6
star
16

datacomp_site

HTML
5
star
17

webdataset-resharder

Efficiently process webdatasets
Python
4
star
18

imagenet-applications-transfer

Python
2
star
19

au21

Jupyter Notebook
1
star
20

advancedml-sp23

CSS
1
star