semvec/pypi-packages huggingface dataset:
haiqv 2.0.2.5
HAiQV AI Platform SDK for MLOps
Requires Python: >=3.8
Keywords: haiqv,haiqvml

<div align="center">
  <img src="https://www.hanwhasystems.com/resources/img/pc/business/HAIQV.png" style="width: 300px;">
  <h3>
    Create AI effortlessly with HAiQV
  </h3>
  HAiQV provides MLOps functionalities for experiment tracking, managing model versions, deploying and serving, for developing ML models. 
</div>

&nbsp;

<div align="center">
  <img src="https://www.hanwhasystems.com/resources/img/pc/content/visual_bus05_2.jpg">
</div>

&nbsp;

# Quick Start

Get started with HAiQV in four steps:

1. First, connect your Notebook in Workbench menu:

<img src="https://www.hanwhasystems.com/resources/img/pc/content/visual_bus05_2.jpg" style="width: 600px; height: 50px">

2. Second, insetall the HAiQV sdk with pip. Navigate to your terminal and type the following command:

```bash
pip install haiqv
```

3. Third, integrate HAiQ sdk with your code:

```python
import haiqv
import random

# Ready to Model training

# Create Experiment and Run with .init 
haiqv.init(experiment_name='sample')

# Parameter logging
haiqv.log_param('batch-size', 16)
haiqv.log_params({'threshold': 0.6, 'max-boxes': 64})

# Dataset metadata logging
haiqv.log_dataset_metadata(name='train_data', path='data/dl/raw', desc='train data set from base')

# Model training code here ...

# Metric & Model metadata logging
for i in range(10):
  random_float = random.uniform(1, 10) * i
  haiqv.log_metric('acc', 0.1*random_float, i)
  haiqv.log_metrics({'loss/train': 1-0.01*random_float, 'acc/train': 0.05*random_float}, i)
  #
  haiqv.log_model_metadata(name='sample', path=f'model/sample{i}.pt', step=i, metric={'acc': 0.1*random_float})

# Finish training
haiqv.finalize()
```
That's all! 

4. Fourth, access the Experiment menu to tracking your Experiment:

<img src="https://www.hanwhasystems.com/resources/img/pc/content/visual_bus05_2.jpg" style="width: 600px; height: 400px">

&nbsp;

# Python SDK API

The list of basic APIs:

- [init](https://aaa)
- [log_param](https://aaa)
- [log_params](https://aaa)
- [log_metric](https://aaa)
- [log_metrics](https://aaa)
- [log_dataset_metadata](https://aaa)
- [log_model_metadata](https://aaa)
- [finalize](https://aaa)

The list of uptility APIs:
- [set_client_ip](https://aaa)
- [get_client_ip](https://aaa)
- [get_run_name](https://aaa)

## init
raydbg 0.1.0
A tool for debugging Ray programs
Requires Python: >=3.6

# RayDBG

A tool for static and dynamic analysis of Ray programs, using LLM. 

## Installation
```bash
pip3 install raydbg

# Setup CodeQL (optional)
raydbg init
```


## Usage

Make sure you have set `OPENAI_KEY` environment variable to your OpenAI API key if you want to use LLM for more accurate analysis. 
You can also use `--no-llm` to disable LLM feature.

Static Analysis:
```bash
raydbg static --target <path_to_ray_file>
```


Dynamic Analysis:
```bash
raydbg dynamic --target <path_to_ray_file>
```


## Example

```bash
git clone https://github.com/shouc/raydbg.git
cd raydbg
```


Run static analysis:
```bash
raydbg static --target examples/pi.py
```


Run dynamic analysis:
```bash
raydbg dynamic --target examples/pi.py
```
pyslipper 0.0.2
Fit your data with P-Splines!
Requires Python: >=3.8

# Slipper
[![pypi](https://img.shields.io/pypi/v/pyslipper.svg)](https://pypi.org/project/pyslipper/)
[![python](https://img.shields.io/pypi/pyversions/pyslipper.svg)](https://pypi.org/project/pyslipper/)
[![Build Status](https://github.com/avivajpeyi/pyslipper/actions/workflows/dev.yml/badge.svg)](https://github.com/avivajpeyi/pyslipper/actions/workflows/dev.yml)
[![Coverage Status](https://coveralls.io/repos/github/avivajpeyi/pyslipper/badge.svg?branch=main&kill_cache=1)](https://coveralls.io/github/avivajpeyi/pyslipper?branch=main)


A python package to fit data with P-splines.


This implementation is built off Patricio Maturana-Russel (@pmat747)'s P-spline PSD
https://github.com/pmat747/psplinePsd

![](docs/static/logo.png)


* Documentation: <https://avivajpeyi.github.io/pyslipper>
* GitHub: <https://github.com/avivajpeyi/pyslipper>
* PyPI: <https://pypi.org/project/pyslipper/>
* Free software: MIT


## Developer setup

```
pip install -e .[dev]
pre-commit install
```

Push to branches -- ensure the workflow passes, and then merge to main.


To make a release:
```bash
git tag -a vX.Y.Z -m "Version X.Y.Z release: <description>"
git push origin --tags
```
Vibhakar 1.0.3
A python package that give you Info about me
Requires Python: >=3.11,<4.0


![Package Version](https://img.shields.io/badge/v1.0.3-blue)  

[![Publish Python 🐍 distribution 📦 to PyPI](https://github.com/p0lygun/vibhakar/actions/workflows/build-and-publish.yaml/badge.svg)](https://github.com/p0lygun/vibhakar/actions/workflows/build-and-publish.yaml)

A python package that contains my info