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

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

This version

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-3.1.3.tar.gz (16.0 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-3.1.3-py3-none-any.whl (19.3 kB view details)

Uploaded Python 3

File details

Details for the file broccoli_ml-3.1.3.tar.gz.

File metadata

  • Download URL: broccoli_ml-3.1.3.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/24.6.0

File hashes

Hashes for broccoli_ml-3.1.3.tar.gz
Algorithm Hash digest
SHA256 bb14a9347c3c0caf0f3884c05d7dc934201f2ed9a190495f25bacb9fb3bd9562
MD5 f49861e8618bbf4fd6c04bb88bd6ae53
BLAKE2b-256 7987d751ca0c8ade8b6ecc97ed1fb339bc3ef65633624f8c2b2a7995ecfa6aeb

See more details on using hashes here.

File details

Details for the file broccoli_ml-3.1.3-py3-none-any.whl.

File metadata

  • Download URL: broccoli_ml-3.1.3-py3-none-any.whl
  • Upload date:
  • Size: 19.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/24.6.0

File hashes

Hashes for broccoli_ml-3.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a0adc1f078dab9da55960f299ab8ff54660078ee5e99f1e3b6bd7e8373243bbf
MD5 f9a172faa9b0f20ec92c9df62b74b847
BLAKE2b-256 f6be662dd6ac4a236cde7a8f20fa030e4f5e6a73637977d14d615430a8e4aa21

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