Model Zoo by IIT Madras
Project description
ModelZoo
This is the ModelZoo created by the Analytics Club, IIT Madras
Models :
-
Computer Vision
- Segmentation
- 2D Segmentation
- UNet
- UNet++
- PSPNet
- 3D Segmentation
- PointNet
- 2D Segmentation
- GAN
- StackGAN
- Inpainting
- Segmentation
-
Natural Language Processing
- CharCNN
- Adaptive Attention for Image Captioning
Installation
Run the following to install:
pip install modelzoo-iitm
Developing Model Zoo
To install modelzoo, along with the tools you need to develop and run tests, run the following in your virtualenv:
pip install -e .[dev]
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file modelzoo_iitm-0.0.10.tar.gz.
File metadata
- Download URL: modelzoo_iitm-0.0.10.tar.gz
- Upload date:
- Size: 17.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d2afd0442f506ad602a9c50a78a9490ab8367f30f2ede12eebbea85480c616a
|
|
| MD5 |
0bc0bb1496e4c5706e125a6de452802b
|
|
| BLAKE2b-256 |
4b3020aa457fb8f1e334e4a2ce036b27936b12e5ad49d162bccc39a6b06e8447
|
File details
Details for the file modelzoo_iitm-0.0.10-py2-none-any.whl.
File metadata
- Download URL: modelzoo_iitm-0.0.10-py2-none-any.whl
- Upload date:
- Size: 21.8 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9579e68d8cc1d1a9fe734b775bfdcebdf9a77dfc0cd9e23daad5dafff10f1648
|
|
| MD5 |
704c2bda0ac861809f86e7274503ee48
|
|
| BLAKE2b-256 |
cc2143ad3b1dbd2e640410ade8d13bcc3f568647eaf70061ebee2681ae2b1575
|
