| kailashahirwar/cheatsheets-ai |
13,281 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
mit |
|
| Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 |
| microsoft/SynapseML |
4,914 |
|
0 |
6 |
about 2 years ago |
12 |
November 27, 2023 |
335 |
mit |
Scala |
| Simple and Distributed Machine Learning |
| JohnSnowLabs/spark-nlp |
3,578 |
|
0 |
30 |
about 2 years ago |
134 |
December 08, 2023 |
43 |
apache-2.0 |
Scala |
| State of the Art Natural Language Processing |
| ethen8181/machine-learning |
2,607 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
HTML |
| :earth_americas: machine learning tutorials (mainly in Python3) |
| uber/petastorm |
1,693 |
|
0 |
8 |
over 2 years ago |
86 |
February 03, 2023 |
174 |
apache-2.0 |
Python |
| Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. |
| hi-primus/optimus |
1,540 |
|
0 |
0 |
over 1 year ago |
32 |
June 19, 2022 |
29 |
apache-2.0 |
Python |
| :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark |
| jadianes/spark-py-notebooks |
1,515 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
other |
Jupyter Notebook |
| Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks |
| lensacom/sparkit-learn |
1,054 |
|
5 |
0 |
over 5 years ago |
13 |
June 24, 2015 |
35 |
apache-2.0 |
Python |
| PySpark + Scikit-learn = Sparkit-learn |
| logicalclocks/hopsworks |
1,041 |
|
0 |
0 |
about 2 years ago |
1 |
September 11, 2019 |
12 |
agpl-3.0 |
Java |
| Hopsworks - Data-Intensive AI platform with a Feature Store |
| h2oai/sparkling-water |
957 |
|
0 |
6 |
over 2 years ago |
195 |
October 26, 2023 |
44 |
apache-2.0 |
Scala |
| Sparkling Water provides H2O functionality inside Spark cluster |
