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MY SKILL SET

Welcome to My GitHub Profile

About Me

I am passionate about software development and technology. I have expertise in various programming languages, frameworks, and concepts. Below are some of the skills I have acquired over time.

Skills

Programming Languages and Tools

Python R Java C C# C++

Golang HTML CSS SASS JavaScript

Specializations and Concepts

Machine Learning Deep Learning Computer Vision SQL Databases

Agile Calculus and Mathematics Statistics Linux Data Science

MySQL PostgreSQL Cisco Packet Tracer MATLAB x86 Assembly

Ubuntu SDLC STLC

AMBITIOUS HUMAN BEING's Projects

ai-digital-school icon ai-digital-school

AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

appium icon appium

Cross-platform automation framework for all kinds of your apps built on top of W3C WebDriver protocol

audiocraft icon audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

awesome-langchain icon awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

caffe icon caffe

Caffe: a fast open framework for deep learning.

cryptocatalogue icon cryptocatalogue

Get to know about the latest real-time information about the trending crypto currencies in the catalogue

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

devops-guide icon devops-guide

DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.

ebitda_calculation_python icon ebitda_calculation_python

The flask api takes input of three excel files (Balance sheet, Income sheet, and Cashflow sheet) and find with machine learning that the files have all the necessary information with NER (Named Entity Recognition) and calculates the EBIDTA with extracted values from the sheets.

face-recognition-web-app icon face-recognition-web-app

A face recognition model built using Open CV and finally deployed on webpage using Streamlit. Full video explanation at :

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai-notes icon fastai-notes

fastai part1 & part2 notes, part1的中文笔记来自其他作者对hiromis笔记的翻译,part2的中文笔记为英文笔记翻译而成

fight-anomaly-detection-web-app icon fight-anomaly-detection-web-app

Web app uses YOLOv7 for real-time object detection, Flask for backend, and HTML/CSS/JS for intuitive UI. Swift, accurate anomaly detection across domains.

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