incubator-xtable
ML-For-Beginners
| incubator-xtable | ML-For-Beginners | |
|---|---|---|
| 5 | 28 | |
| 695 | 67,111 | |
| 10.8% | 2.7% | |
| 9.3 | 7.6 | |
| 2 days ago | 12 days ago | |
| Java | HTML | |
| Apache License 2.0 | MIT License |
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.
incubator-xtable
- FLaNK AI-April 22, 2024
- FLaNK AI Weekly 25 March 2025
- FLaNK Stack Weekly for 20 Nov 2023
-
OneTable is now live | Table format interoperability is not a dream anymore
I'm excited to share that the project is now live and I wanted to thank the project's early contributors. You can learn more by visiting the repo: https://github.com/onetable-io/onetable
- Show HN: OneTable interop across Delta, Hudi, Iceberg
ML-For-Beginners
-
Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
-
is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
-
Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
email2phonenumber - A OSINT tool to obtain a target's phone number just by having his email address
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
doris - Apache Doris is an easy-to-use, high performance and unified analytics database.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
starrocks - StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries. InfoWorld’s 2023 BOSSIE Award for best open source software.
pycaret - An open-source, low-code machine learning library in Python
sql-cli-for-apache-flink-docker - SQL CLI for Apache Flink® via docker-compose
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
connectors - This library allows Scala and Java-based projects (including Apache Flink, Apache Hive, Apache Beam, and PrestoDB) to read from and write to Delta Lake.
pyVHR - Python framework for Virtual Heart Rate
Local-Data-LakeHouse - Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing.
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]