kpradyumna095's starred repositories
software-dev-for-mlops-101
Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
Building-Generative-AI-Apps
Two sample projects built for the FourthBrain Generative AI Workshop
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
Generative-AI-use-cases
The mission is to assist you in tackling complex problems and contribute to the betterment of society. To achieve this goal, I have compiled a comprehensive collection of Generative Artificial Intelligence use cases
pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
Python-Interview-Questions-2023
Questions with answers and code examples. Suitable for developers with experience. Required level: Middle or strong Junior.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Interview-Prep-Python-Developer
My own compilation of code snippets to answer most of the Python developer interview programming questions
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
invoice_printer
Super simple PDF invoicing
invoice-processing
An app that uses Azure Forms AI and regex to extract 15 key-value pairs from an invoice. App's UI is built using Streamlit.
Vehicle-Number-Plate-Reading
Read Vehicle Number Plate and store the data in a CSV file with date and time.
Invoice_detection
This is an AI model for detecting and recognizing invoice information by yolov5 and OCR.
nlp-tutorial
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
python-tutorial
Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all