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

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

This version

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-23.0.1.tar.gz (20.5 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-23.0.1-py3-none-any.whl (24.4 kB view details)

Uploaded Python 3

File details

Details for the file broccoli_ml-23.0.1.tar.gz.

File metadata

  • Download URL: broccoli_ml-23.0.1.tar.gz
  • Upload date:
  • Size: 20.5 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-23.0.1.tar.gz
Algorithm Hash digest
SHA256 3ad07550520c30a962adcc7e054677cd5d9e9cfb29a999427f02e2306d253e96
MD5 9205a0c8f1c467ab341ce9c21a260de3
BLAKE2b-256 910a5dc9039f229103dc551b4a8afd1ff0b1171af8baf50e70104cf3fb526eef

See more details on using hashes here.

File details

Details for the file broccoli_ml-23.0.1-py3-none-any.whl.

File metadata

  • Download URL: broccoli_ml-23.0.1-py3-none-any.whl
  • Upload date:
  • Size: 24.4 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-23.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1d09cfe18fd821a47e3f63ebd170d53ab269b0ce3b7068ae1eb887ffc1445d8c
MD5 6800dd47d520c221b68d5e533fbcff68
BLAKE2b-256 88ad77f53e398409fe5dd0a3b3fe6e59a054dd768727072ecfaff5e2b2f13529

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