AMBITIOUS HUMAN BEING's Projects
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
AngularJS Basics ( v1.8.x )
Cross-platform automation framework for all kinds of your apps built on top of W3C WebDriver protocol
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.
South Asian Digital archives and histories of the digital. Contribute now
😎 Awesome list of tools and projects with the awesome LangChain framework
A curated list of awesome load balancers and proxies. Software, libraries, posts, talks.
Caffe: a fast open framework for deep learning.
this contains all the answers to the quizes and asssignments for "Programming for Everybody (Getting Started with Python)" on Coursera by the University of Michigan.
Get to know about the latest real-time information about the trending crypto currencies in the catalogue
Personal Data Engineering Projects
It contains all the data structures and computer fundamentals notes I made while preparing for placements.
Sample data
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Disease Prediction based on Symptoms.
Login with
.NET code samples used on https://cloud.google.com
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.
A face recognition model built using Open CV and finally deployed on webpage using Streamlit. Full video explanation at :
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fast R-CNN
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
Faster R-CNN
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.