Learn-Datascience-For-Free
mlreef
Learn-Datascience-For-Free | mlreef | |
---|---|---|
9 | 4 | |
5,003 | 1,438 | |
- | -0.3% | |
0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Kotlin | ||
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
Learn-Datascience-For-Free
mlreef
-
Join the AI4Earth challenge with the European Space Agency to highlight our footprint on Earth using Earth Observation data and Machine Learning
MLReef - https://mlreef.com
-
Open Source Machine Learning platform
Could you take a look at our repo: https://github.com/MLReef/mlreef
- Open Source Machine Learning
- Show HN: MLReef – collaborative Machine Learning platform
What are some alternatives?
audio-ai-timeline - A timeline of the latest AI models for audio generation, starting in 2023!
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
kaggle-courses - Courses on Kaggle
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go
datascience - Curated list of Python resources for data science.
pycm - Multi-class confusion matrix library in Python
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
SimpleDNN - SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks