base VS AI-For-Beginners

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

base

Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance. (by adansons)
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base AI-For-Beginners
1 8
28 31,046
- 11.5%
0.0 6.7
over 1 year ago 8 days 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.

base

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

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.

What are some alternatives?

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

OpenBBTerminal - Investment Research for Everyone, Everywhere.

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

DeepLearning - Contains all my works, references for deep learning

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

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.

Data-science - Collection of useful data science topics along with articles, videos, and code

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

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