AI-For-Beginners VS Artifact_Removal_GAN

Compare AI-For-Beginners vs Artifact_Removal_GAN and see what are their differences.

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AI-For-Beginners Artifact_Removal_GAN
8 1
31,259 46
3.0% -
6.7 0.0
17 days ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AI-For-Beginners

Posts with mentions or reviews of AI-For-Beginners. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-13.

Artifact_Removal_GAN

Posts with mentions or reviews of Artifact_Removal_GAN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AI-For-Beginners and Artifact_Removal_GAN you can also consider the following projects:

GAN-RNN_Timeseries-imputation - Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

DeepLearning - Contains all my works, references for deep learning

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

pix2pix - This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022