mhknb

mlops-zoomcamp

Free MLOps course from DataTalks.Club

GANbasedOversampling

margctgan

Official implementation of "MargCTGAN: A ``Marginally'' Better CTGAN for the Low Sample Regime" (ICML 2023 Deploying Generative AI workshop & GCPR 2023 Conference)

pykan

Kolmogorov Arnold Networks

awesome-data-synthesis

A curated list of awesome resources for creating synthetic data

freelancerin-finansal-yol-haritasi

Upwork ve Fiverr üzerinden ihracat yapan Freelancer'in şirketleşme, teşvikler, parasını en uygun şekilde ülkemize getirme gibi konularda sorularına cevap bulabileceği bir yol haritası.

mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

generative-models

research and implementations of Generative Models(GANs, VAEs and Autoregressive models) and their applications

the-gan-zoo

A list of all named GANs!

DeepImage-an-Image-to-Image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

puter

🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

synthetic-data-generator

SDG is a specialized framework designed to generate high-quality structured tabular data.

AIX360

Interpretability and explainability of data and machine learning models

mlops

Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production

incremental_training

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

ML-workflow

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

tutorials

MONAI Tutorials

differentially-private-cgan

model-zoo

Examples of Generative Adversarial Networks built using torchgan

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

medgan

Generative adversarial network for generating electronic health records.

SDGym

Benchmarking synthetic data generation methods.

CTGAN

Conditional GAN for generating synthetic tabular data.

TabSurvey

Experiments on Tabular Data Models

COVID-19-CHEST-X-RAY-IMAGE-CLASSIFICATION_UIUC

SyntheticGenerators

cor-gan

:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

SimplePDF

Simple MacOS PDF reader with ChatGPT integrated. You can chat with your local PDF. The returned response can cite the page number to ensure correctness.