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Hi there 👋, Welcome to my Poor Repo! Nothing you can find here.

import logging

class ReadMe:

    def __init__(self, username="mragungsetiaji"):
        self.username = username
        self.name = 'A.S.'
        self.education = {
            'mathematic': ['Bachelor of Mathematic', 'YSU']
        }
        self.employment = {
            'data-department': ['Data Scientist', 'Data Engineer']
        }
        self.language: ["Python", "SQL", "Scala"],
        self.framework: {
            'API': ["flask", "fastAPI],
            'ML': ["scikit-learn", "tensorflow"],
        },
        databases: ["BigQuery"],
    },
    
    @classmethod
    def daily_activity() -> None:
        
        activities = [
            'HODL',
        ]
        
        while True:
            for activity in activities:
                logging.debug("I am {}".format(activity))
                
if __name__ == "__main__":
     me = ReadMe()

A. Setiaji's Projects

llmzoo icon llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

merlion icon merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

nlp icon nlp

Machine Learning Project about Natural Language Processing

particle-swarm-optimization icon particle-swarm-optimization

Particle Swarm Optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position, but is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

ppo icon ppo

Proximal Policy Optimization

redoc icon redoc

📘 OpenAPI/Swagger-generated API Reference Documentation

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tabsmr icon tabsmr

Tabulation Tools for Market Research

trl icon trl

Train transformer language models with reinforcement learning.

update-golang icon update-golang

update-golang is a script to easily fetch and install new Golang releases with minimum system intrusion

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