AI Rank
中文
← Open Source
caogang

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs".

Model DevelopmentDeep Learning FrameworksPython
Open on GitHub
Momentum
+0stars in 24 hours0.0%
1.55k
Stars
345
Forks
+1
This week
2
Contributors
Created 2017-05-04 · Updated 2026-10-12 · #10034 today
Top developers
caogangrobotcator

caogang/wgan-gp is ranked 10,034 with 1,547 stars.

Same-category comparison

caogang/wgan-gp is ranked 10,034 among these 8 peers; allenai/bi-att-flow is ranked 10,040.

Same-category comparison
NameRankMetrics
NVIDIA/OpenSeq2Seq10,001
Language:
Python
Stars:
1,559
Forks:
372
Description:
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP.
tianrun-chen/SAM-Adapter-PyTorch10,011
Language:
Python
Stars:
1,556
Forks:
124
Description:
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts.
nubank/fklearn10,017
Language:
Jupyter Notebook
Stars:
1,553
Forks:
176
Description:
fklearn: Functional Machine Learning.
AnswerDotAI/fsdp_qlora10,020
Language:
Jupyter Notebook
Stars:
1,552
Forks:
201
Description:
Training LLMs with QLoRA + FSDP.
allenai/bi-att-flow10,040
Language:
Python
Stars:
1,545
Forks:
669
Description:
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
instacart/lore10,042
Language:
Python
Stars:
1,545
Forks:
128
Description:
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.
lucidrains/soundstorm-pytorch10,043
Language:
Python
Stars:
1,545
Forks:
94
Description:
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch.
alibaba/FederatedScope10,044
Language:
Python
Stars:
1,544
Forks:
261
Description:
An easy-to-use federated learning platform.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModel Development
SubcategoryDeep Learning Frameworks
KeywordsImage production
Stars1,547
Forks345
Contributors2
Created date2017-05-04
Updated date2026-10-12
Stars in 1 day0
Stars in 7 days1
Rank10,034
Previous rank10,053
Rank change19
7-day stars rank9,759
Previous 7-day stars rank17,098
7-day stars rank change7,339
Total stars rank7,895
Previous total stars rank7,888
Total stars rank change-7
CountryChina
README summary

WGAN-GP An pytorch implementation of Paper "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU **A latest master version of Pytorch** Progress [x] gan_toy. py : Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll). py : Character-level language model (Discriminator is using **nn. py : MNIST (**Running Results while Finished** in 2017. py: 64x64 architectures(**Looking forward to your pull request**) [x] gan_cifar. py: CIFAR-10(**Great thanks to robotcator**) Results Toy Dataset Some

Sample Result, you can refer to the results/toy/ folder for **details**. **8gaussians 154500 iteration** **25gaussians 48500 iteration** **swissroll 69400 iteration** Mnist Dataset Some Sample Result, you can refer to the results/mnist/ folder for **details**. Billion Word Language Generation (Using CNN, character-level) Some Sample Result after 8699 epochs which is detailed in sample I haven't run enough epochs due to that this is very time-comsuming. He moved the mat all out clame t > A fosts of shores

forreuid he pe > It whith Crouchy digcloued defor > Pamreutol the rered in Car inson > Nor op to the lecs ficomens o fe > In is a " nored by of the ot can > The onteon I dees this pirder , > It is Brobes aoracy of " medurn > Rame he reaariod to thim atreast > The stinl who herth of the not t > The witl is f ont UAy Y nalence > It a over , tose sho Leloch Cumm Cifar10 Dataset Some Sample Result, you can refer

to the results/cifar10/ folder for **details**. Acknowledge Based on the implementation igul222/improved_wgan_training and martinarjovsky/WassersteinGAN

Frequently asked questions

How many stars and forks are recorded?

caogang/wgan-gp has 1,547 stars and 345 forks.

What is the repository rank?

caogang/wgan-gp is ranked 10,034.

What language and category are recorded?

caogang/wgan-gp has 1,547 stars, uses Python and belongs to Model Development.

Which repository is closest in rank?

caogang/wgan-gp is compared with allenai/bi-att-flow, ranked 10,040 with 1,545 stars.

README

WGAN-GP

An pytorch implementation of Paper "Improved Training of Wasserstein GANs".

Prerequisites

Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU

A latest master version of Pytorch

Progress

  • [x] gan_toy.py : Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll).(Finished in 2017.5.8)

  • [x] gan_language.py : Character-level language model (Discriminator is using nn.Conv1d. Generator is using nn.Conv1d. Finished in 2017.6.23. Finished in 2017.6.27.)

  • [x] gan_mnist.py : MNIST (Running Results while Finished in 2017.6.26. Discriminator is using nn.Conv1d. Generator is using nn.Conv1d.)

  • [ ] gan_64x64.py: 64x64 architectures(Looking forward to your pull request)

  • [x] gan_cifar.py: CIFAR-10(Great thanks to robotcator)

Results

  • Toy Dataset

    Some Sample Result, you can refer to the results/toy/ folder for details.

    • 8gaussians 154500 iteration

    • 25gaussians 48500 iteration

    • swissroll 69400 iteration

  • Mnist Dataset

    Some Sample Result, you can refer to the results/mnist/ folder for details.

  • Billion Word Language Generation (Using CNN, character-level)

    Some Sample Result after 8699 epochs which is detailed in sample

    I haven't run enough epochs due to that this is very time-comsuming.

    He moved the mat all out clame t

    A fosts of shores forreuid he pe

    It whith Crouchy digcloued defor

    Pamreutol the rered in Car inson

    Nor op to the lecs ficomens o fe

    In is a " nored by of the ot can

    The onteon I dees this pirder ,

    It is Brobes aoracy of " medurn

    Rame he reaariod to thim atreast

    The stinl who herth of the not t

    The witl is f ont UAy Y nalence

    It a over , tose sho Leloch Cumm

  • Cifar10 Dataset

    Some Sample Result, you can refer to the results/cifar10/ folder for details.

Acknowledge

Based on the implementation igul222/improved_wgan_training and martinarjovsky/WassersteinGAN

Nearby in the ranking
Similar items