semvec/pypi-packages huggingface dataset:
lcgeuclideanmethod 0.1.0
Determining LCG population from campaign takers/non by calculating Euclidean Method and ttest
Requires Python: >=3.1

LCG T-TEST USING EUCLIDEAN METHOD
---------------------------------
Advanced Analytics and Growth Marketing Telkomsel
-------------------------------------------------
Project Supervisor : Rizli Anshari
Writer             : Azka Rohbiya Ramadani, Muhammad Gilang, Demi Lazuardi

This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method.

This python requires related package
more importantly python_requires='>=3.1', so that package can be install
Make sure the other packages meet the requirements below
'pandas>=1.1.5',
'numpy>=1.18.5',
'scipy>=1.2.0',
'matplotlib>=3.1.0',
'statsmodels>=0.8.0'
jax-aqt 0.1
AQT: Accurate Quantized Training

# Accurate Quantized Training

This directory contains libraries for running and analyzing
neural network quantization experiments in JAX and flax.

Summary about this work is presented at paper [Pareto-Optimal Quantized ResNet Is Mostly 4-bit](https://arxiv.org/abs/2105.03536).
Please cite the paper in your publications if you find the source code useful for your research.

Contributors: Shivani Agrawal, Lisa Wang, Jonathan Malmaud, Lukasz Lew,
Pouya Dormiani, Phoenix Meadowlark, Oleg Rybakov.

## AQT Quantization Library

`Jax` and `Flax` quantization libraries provides `what you serve is what you train`
quantization for convolution and matmul. See [this README.md](./jax/README.md).

## Reporting Tool

After a training run has completed, the reporting tool in
`report_utils.py` allows to generate a concise experiment report with aggregated
metrics and metadata. See [this README.md](./utils/README.md).
euclideanmethod 0.1.3
Determining LCG population from campaign takers/non by calculating Euclidean Method and ttest
Requires Python: >=3.1

LCG T-TEST USING EUCLIDEAN METHOD
---------------------------------
Advanced Analytics and Growth Marketing Telkomsel
-------------------------------------------------
Project Supervisor : Rizli Anshari
Writer             : Azka Rohbiya Ramadani, Muhammad Gilang, Demi Lazuardi

This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method.

This python requires related package
more importantly python_requires='>=3.1', so that package can be install
Make sure the other packages meet the requirements below
'pandas>=1.3.5',
'numpy>=1.21.5',
'scipy>=1.7.3',
'matplotlib>=3.5.1',
'statsmodels>=0.13.1',