mswornavidhya Goto Github PK
Type: User
Type: User
IIIT-B learning curve assignments
Applied Machine Learning Explainability Techniques, published by Packt
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
📱 ✅ Some awesome projects in python! 📱 ✅
Curated list of awesome papers and resources in quantum machine learning
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
book
Model interpretability and understanding for PyTorch
Convolution visualizations
Dataset of forged characters detection on id cards
Aspect-based sentiment classification identifies emotions and their percentage in context sentences as speech/text
Leaning code of ETL Course
The fastai book, published as Jupyter Notebooks
Explainable AI with Python, published by Packt
This project aims to build an intelligent semantic search system, incorporating optimized PDF document processing, strategic vector database searches with cache implementation, and coherent answer generation for efficient information extraction from policy documents.
Testing connection of Heroku through Pycharm
Code base for the Learning PySpark book (in preparation)
For Semester 4
An Objective-C RSS / Atom Feed Parser for iOS
A github repository for our quantum CNN project for the quantum computing hackathon
Recent advances in many fields have accelerated the demand for classification, regression, and detection problems from few 2D images/projections. Often, the heart of these modern techniques utilize neural networks, which can be implemented with deep learning algorithms. In our neural network architecture, we embed a dynamically programmable quantum circuit, acting as a hidden layer, to learn the correct parameters to correctly classify handwritten digits from the MNIST database. By starting small and making incremental improvements, we successfully reach a stunning ~95% accuracy on identifying previously unseen digits from 0 to 7 using this architecture!
RAG implemented using LlammaIndex (data framework for LLM-based applications which benefit from context augmentation)
Enhancing Online Laptop Shopping Through Intelligent Chatbot Recommendations
In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US stock market.
Automatically exported from code.google.com/p/svnx
XAI Analysis for heart disease prediction
Attempt to use XGBoost in stock price prediction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.