|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Keras||58,563||330||7 hours ago||68||May 13, 2022||391||apache-2.0||Python|
|Deep Learning for humans|
|Scikit Learn||54,525||18,944||6,722||14 hours ago||64||May 19, 2022||2,193||bsd-3-clause||Python|
|scikit-learn: machine learning in Python|
|Ml For Beginners||49,272||a day ago||12||mit||Jupyter Notebook|
|12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all|
|Made With Ml||33,193||a month ago||5||May 15, 2019||11||mit||Jupyter Notebook|
|Learn how to responsibly develop, deploy and maintain production machine learning applications.|
|Spacy||26,334||1,533||842||a day ago||196||April 05, 2022||107||mit||Python|
|💫 Industrial-strength Natural Language Processing (NLP) in Python|
|Ray||25,975||80||199||10 hours ago||76||June 09, 2022||2,886||apache-2.0||Python|
|Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.|
|Streamlit||25,202||17||404||12 hours ago||182||July 27, 2022||640||apache-2.0||Python|
|Streamlit — A faster way to build and share data apps.|
|Data Science Ipython Notebooks||25,025||a month ago||33||other||Python|
|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.|
|Applied Ml||24,242||16 days ago||3||mit|
|📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.|
|Roadmap to becoming an Artificial Intelligence Expert in 2022|
Virgilio is an open-source initiative, aiming to mentor and guide anyone in the world of the Data Science. Our vision is to give everyone the chance to get involved in this field, get self-started as a practitioner, gain new skills and learn to navigate through the infinite web of resources and find the ones useful for you.
Find me on Twitter to have a chat!
Studying and reading through the Internet means swimming in an infinite jungle of chaotic information, even more so in rapidly changing innovative fields.
Have you ever felt overwhelmed when trying to approach Data Science without a real path to follow?
Are you tired of clicking Run, Run, Run.. on a Jupyter Notebook, with that false sense of confidence given by the comfort zone of the work of others?
Have you ever got confused because of the several and contradicting names for the same algorithm or approach, from different websites and fragmented tutorials?
Virgilio addresses these critical issues for free, for everyone.
Virgilio is developed and maintained by these awesome people. Find me on Twitter to have a chat!
That's awesome! Check the contribution guidelines and get involved in our project!
Contents are released under the Creative Commons BY-NC-SA 4.0 license. Code is released under the MIT license. The Virgilio image comes from here.