MindsDB
xgboost
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| MindsDB | xgboost | |
|---|---|---|
| 64 | 7 | |
| 16,266 | 24,180 | |
| 2.1% | 0.5% | |
| 10.0 | 8.6 | |
| 4 days ago | 7 days ago | |
| Python | C++ | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
MindsDB
- Eva AI-Relational Database System
- Stochastic gradient descent written in SQL
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How Developers should take advantage of MindsDB's Integration with OpenAI Chat GPT-3
If you would like to find out more about MindsDB, you can visit their website.Feel free to bookmark MindsDB's Github repository and give them a star.Engage with the MindsDB community on Slack or GitHub to ask questions and share your ideas and thoughts.
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Not a programming language, but a database solution, called MindsDB. From the tab "How does MindsDB work?":
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Making Something Waspy: A Review Of Wasp
I picked a few of them on the hacktoberswag.com website. Precisely three: pusher.js, refine.dev, and MindsDB. You are probably asking Oh, you did not pick Wasp? The thing was, Wasp wasn’t listed on that web page and I didn’t know if any tool by that name existed.
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Using MindsDB for Time Series Forecasting - Honey Production in the USA
MindsDB GitHub
The very first thing to do is to create your 30-day free to use Mindsdb account. Once this is done you are all set to explore and understand the MindsDB way of building machine learning models.
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Advice on finding worthy projects?
Check out https://github.com/mindsdb/mindsdb/ it's an ML project but has plenty of non-ML areas to contribute to. As well as a few no-code things too.
- Signs of an active and healthy project to contribute to?
- Show HN: PostgresML, now with analytics and project management
xgboost
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PSA: You don't need fancy stuff to do good work.
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive documentation and community support, making it easy to learn and apply new techniques without needing specialized training or expensive software licenses.
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xgboost VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
What are some alternatives?
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
tensorflow - An Open Source Machine Learning Framework for Everyone
Keras - Deep Learning for humans
mlpack - mlpack: a fast, header-only C++ machine learning library
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
scikit-learn - scikit-learn: machine learning in Python
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
postgresml - PostgresML is an AI application database. Download open source models from Huggingface, or train your own, to create and index LLM embeddings, generate text, or make online predictions using only SQL.
Simple GAN - Attempt at implementation of a simple GAN using Keras