TFGENZOO (Generative Model x Tensorflow 2.x)
What’s this repository?
This is a repository for some researcher to build some Generative models using Tensorflow 2.x.
I NEED YOUR HELP(please let me know about formula, implementation and anything you worried)
Zen of this repository
We don't want to need flexible architectures.
We need strict definitions for shapes, parameters, and formulas.
We should Implement correct codes with well-documented(tested).
How to use?
By Install
-
pipenv
pipenv install TFGENZOO==1.2.4.post7 -
pip
pip install TFGENZOO==1.2.4.post7
Source build for development
- clone this repository (If you want to do it, I will push this repository to PYPI)
- build this repository
docker-compose build - run the environment
sh run_script.sh - connect it via VSCode or Emacs or vi or anything.
Examples
-
Simple Tutorials
-
The tutorial about Flow-based Model
-
How to add conditional input into Flow-based Model for the image generation.
-
Documents
https://mokkemeguru.github.io/TFGENZOO/
Roadmap
- Flow-based Model Architecture (RealNVP, Glow)
- i-ResNet Model Architecture (i-ResNet, i-RevNet)
- GANs Model Architecture (GANs)
Remarkable Backlog
Whole backlog is here
News [2020/6/16]
New training results Oxford-flower102 with only 8 hours! (Quadro P6000 x 1)
| data | NLL(test) | epoch | pretrained |
|---|---|---|---|
| Oxford-flower102 | 4.590211391448975 | 1024 | --- |
see more detail, you can see my internship’s report (Japanese only, if you need translated version, please contact me.)
News [2020/7/11]
Add some tutorial into ./tutorial
News [2021/3/30]
I wrote the master's paper about japanese text style transfer. "AutoEncoder に基づく半教師あり和文スタ イル変換" https://drive.google.com/file/d/1KtkLZi6PUvL7msAqbg_KRdEC0pmmpbhf/view?usp=sharing
Contact
MokkeMeguru (@MokkeMeguru): DM or Mention Please (in Any language).
1 maintainer
Metadata
1 maintainer
Release files for TFGENZOO 1.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| TFGENZOO-1.2.5.tar.gz | 29.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TFGENZOO-1.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.2 kB
Release files / TFGENZOO-1.2.5.tar.gz
| Download URL | TFGENZOO-1.2.5.tar.gz |
|---|---|
| Size | 29.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
289ee11da97b5021a215f9086c64021d5ec18a354a48a6a2506255675eb04e8d
|
|
BLAKE2b-256 checksum How to use checksums |
5741748a4d93ddf9ea9a51c765bc02b07ca8634a72ab00a75b32751cfd530052
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.0
|
Release files / TFGENZOO-1.2.5-py3-none-any.whl
| Download URL | TFGENZOO-1.2.5-py3-none-any.whl |
|---|---|
| Size | 48.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
08f10a98d753563665fc34c00ca135b8c4db6229ecc9be7f716dedd94c0001ec
|
|
BLAKE2b-256 checksum How to use checksums |
657b9ad2f4bc5bba621f7ae9a7e54adc3ba67fd278f46ad3decafde48436d0e7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.0
|
