AI-For-Beginners VS DeepLearning

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

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AI-For-Beginners DeepLearning
8 1
31,259 3
2.4% -
6.7 0.0
12 days ago almost 2 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.
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.

DeepLearning

Posts with mentions or reviews of DeepLearning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

What are some alternatives?

When comparing AI-For-Beginners and DeepLearning 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.

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

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).

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.

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

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

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning

TSAI-DeepNLP-END2.0

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image