Some useful Pytorch models, circa 2025

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nicholasbailey from gravatar.com nicholasbailey

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Nicholas Bailey
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

broccoli

Some useful PyTorch models, circa 2025.

broccoli

Getting started

You can install broccoli with

pip install broccoli-ml

PyTorch is a peer dependency of broccoli, which means

  • You will need to make sure you have PyTorch installed in order to use broccoli
  • PyTorch will not be installed automatically when you install broccoli

We take this approach because PyTorch versioning is environment-specific and we don't know where you will want to use broccoli. If we automatically install PyTorch for you, there's a good chance we would get it wrong!

Therefore, please also make sure you install PyTorch.

Usage examples

...

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nicholasbailey from gravatar.com nicholasbailey

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Nicholas Bailey
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

30.1.0

30.0.0

29.3.0

29.2.0

29.1.0

This version

29.0.0

28.0.0

27.1.1

27.1.0

27.0.0

26.2.0

26.1.0

26.0.0

25.0.0

24.0.1

24.0.0

23.1.0

23.0.3

23.0.2

23.0.1

23.0.0

22.1.0

22.0.2

22.0.1

22.0.0

21.0.1

21.0.0

20.1.0

20.0.0

19.7.1

19.7.0

19.6.0

19.5.0

19.4.0

19.3.0

19.1.3

19.1.2

19.1.1

19.1.0

19.0.0

18.4.0

18.3.0

18.2.0

18.1.0

18.0.0

17.3.0

17.2.0

17.1.0

17.0.0

16.1.0

16.0.4

16.0.3

16.0.2

16.0.1

16.0.0

15.12.0

15.10.4

15.10.2

15.10.1

15.10.0

15.9.0

15.8.1

15.8.0

15.7.1

15.7.0

15.6.0

15.5.0

15.4.2

15.4.1

15.4.0

15.3.0

15.2.0

15.1.0

15.0.1

15.0.0

14.0.1

14.0.0

13.0.6

13.0.5

13.0.4

13.0.3

13.0.2

13.0.1

13.0.0

12.3.1

12.3.0

12.2.0

12.1.0

12.0.0

11.0.0

10.2.0

10.1.1

10.1.0

10.0.1

10.0.0

9.7.0

9.6.0

9.5.1

9.5.0

9.4.2

9.4.1

9.4.0

9.3.0

9.2.2

9.2.1

9.2.0

9.1.0

9.0.0

7.0.0

6.0.1

6.0.0

5.2.0

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.0

4.0.1

4.0.0

3.3.1

3.3.0

3.2.0

3.1.3

3.1.2

3.1.1

3.1.0

3.0.1

3.0.0

2.0.0

1.3.0

1.2.3

1.2.2

1.2.1

1.2.0

1.1.0

1.0.0

0.40.0

0.39.0

0.38.0

0.37.0

0.36.0

0.35.1

0.35.0

0.34.0

0.33.2

0.33.1

0.33.0

0.32.0

0.31.2

0.31.1

0.31.0

0.30.0

0.29.1

0.29.0

0.28.0

0.27.0

0.26.0

0.25.0

0.24.3

0.24.2

0.24.1

0.24.0

0.23.1

0.23.0

0.22.0

0.21.1

0.21.0

0.20.0

0.19.0

0.18.1

0.18.0

0.17.0

0.16.0

0.15.2

0.15.1

0.15.0

0.14.1

0.14.0

0.13.6

0.13.5

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.0

0.11.0

0.10.0

0.9.0

0.8.1

0.8.0

0.7.0

0.6.0

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

0.2.0

0.1.41

0.1.40

0.1.39

0.1.38

0.1.37

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

broccoli_ml-29.0.0.tar.gz (20.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

broccoli_ml-29.0.0-py3-none-any.whl (24.8 kB view details)

Uploaded Python 3

File details

Details for the file broccoli_ml-29.0.0.tar.gz.

File metadata

  • Download URL: broccoli_ml-29.0.0.tar.gz
  • Upload date:
  • Size: 20.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/25.2.0

File hashes

Hashes for broccoli_ml-29.0.0.tar.gz
Algorithm Hash digest
SHA256 bf0fb5ffba0551a71a87f8a040572474b4c95df5060969bdb5227db5b862a317
MD5 ac3125f52958fec02b4cbca6489dd097
BLAKE2b-256 b0fc78ab7b568bad88668fb14f81620247713efe058a9674f731e5aa1cd4fa26

See more details on using hashes here.

File details

Details for the file broccoli_ml-29.0.0-py3-none-any.whl.

File metadata

  • Download URL: broccoli_ml-29.0.0-py3-none-any.whl
  • Upload date:
  • Size: 24.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/25.2.0

File hashes

Hashes for broccoli_ml-29.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9e9447c01dcfa4813af32181a973559bd62c63febfa3c33a4cf574169ed726c8
MD5 b9c69d60583d66181ef92da46c0bba69
BLAKE2b-256 24d487d3945c9810b1f400f1771cc79256515d82df66d02aa3d2f2429e976878

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page