AI-For-Beginners VS LLVIP

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

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AI-For-Beginners LLVIP
8 1
31,259 587
3.0% -
6.7 6.2
17 days ago 3 months ago
Jupyter Notebook Jupyter Notebook
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

LLVIP

Posts with mentions or reviews of LLVIP. 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 LLVIP 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.

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

DeepLearning - Contains all my works, references for deep learning

fashionpedia-api - Python API for Fashionpedia Dataset

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

naver-webtoon-faces - Generative models on NAVER Webtoon faces

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.

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

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

optc-box-exporter - Export your One Piece Treasure Cruise Box with just using Screenshots

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).

imagefusion_deeplearning - VggML (ICPR 2018, Beijing)