AI-For-Beginners VS CAH

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

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AI-For-Beginners CAH
8 1
31,259 7
3.0% -
6.7 3.9
17 days ago 8 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.

CAH

Posts with mentions or reviews of CAH. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-20.

What are some alternatives?

When comparing AI-For-Beginners and CAH 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.

nlpaug - Data augmentation for NLP

DeepLearning - Contains all my works, references for deep learning

marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

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

ML-Papers-of-the-Week - 🔥Highlighting the top ML papers every week.

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.

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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).

TSAI-DeepNLP-END2.0