auto differential framework
Project description
adfp
'adfp' (Auto DiFferential for Python) is the framework for auto diffenretials. This project imtates the implemetation of latest deep learning framework.
Project details
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
adfp-0.0.1.tar.gz
(6.2 kB
view details)
Built Distributions
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
adfp-0.0.1-py3.8.egg
(29.8 kB
view details)
adfp-0.0.1-py3-none-any.whl
(9.4 kB
view details)
File details
Details for the file adfp-0.0.1.tar.gz.
File metadata
- Download URL: adfp-0.0.1.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b3c080e120af1699ada003ee9c02380de5b7c223ff1821c6b52360c4ba7b7f1e
|
|
| MD5 |
3a6f918a5483de6cf6edeef85596ddc8
|
|
| BLAKE2b-256 |
d6b3f8948fc1d1f5c8a5e5610acf13a7cdcbed34c233c678d0ef94a61aecf853
|
File details
Details for the file adfp-0.0.1-py3.8.egg.
File metadata
- Download URL: adfp-0.0.1-py3.8.egg
- Upload date:
- Size: 29.8 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
849cde9bad5a6d0257555cb724b8c6ad514418e52d5cdd81200d31c74f5daac1
|
|
| MD5 |
9952f92c7c8be9847f698055debbf96a
|
|
| BLAKE2b-256 |
1ca9c60d4d523dfd9dbee15d187dd58dc1d4c4d452cf2058b432fbb9f0c9f43d
|
File details
Details for the file adfp-0.0.1-py3-none-any.whl.
File metadata
- Download URL: adfp-0.0.1-py3-none-any.whl
- Upload date:
- Size: 9.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a69c438665303482d7126aaf880a87fe98f13ab75fac08e29ec09895b4dbdb4b
|
|
| MD5 |
e9e3f761a8d5816cc845f7e618701251
|
|
| BLAKE2b-256 |
b1f3a354847aab7b3f0401fab29b2049e201c4d3a248b37ecdff3a37fd10aa5f
|