rmi
RadixSpline
Our great sponsors
- Onboard AI - Learn any GitHub repo in 59 seconds
- InfluxDB - Collect and Analyze Billions of Data Points in Real Time
- SaaSHub - Software Alternatives and Reviews
| rmi | RadixSpline | |
|---|---|---|
| 1 | 3 | |
| 51 | 114 | |
| - | 1.8% | |
| 0.0 | 0.0 | |
| almost 3 years ago | 8 months ago | |
| Jupyter Notebook | C++ | |
| 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.
rmi
We haven't tracked posts mentioning rmi yet.
Tracking mentions began in Dec 2020.
RadixSpline
-
Self-indexing RDBMS? Could AI help?
RadixSpline
-
PGM Indexes: Learned indexes that match B-tree performance with 83x less space
We index geospatial data using a learned index in this work (cf. Section 3): http://cidrdb.org/cidr2021/papers/cidr2021_paper19.pdf
What are some alternatives?
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
google-research - Google Research
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
fastai - The fastai deep learning library
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
SOSD - A Benchmark for Learned Indexes
machine_learning_basics - Plain python implementations of basic machine learning algorithms
PGM-index - 🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
la_vector - 🔶 Compressed bitvector/container supporting efficient random access and rank queries