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Name: Naman Pandey
Type: User
Bio: 🎓 MSc in AI. 💼 Expertise in Data Science, ML, Deep Learning & Computer Vision. 📫 London-based. Open to collaborations.
Location: London, UK
Name: Naman Pandey
Type: User
Bio: 🎓 MSc in AI. 💼 Expertise in Data Science, ML, Deep Learning & Computer Vision. 📫 London-based. Open to collaborations.
Location: London, UK
"6 Weeks, 6 AI Projects" is my GitHub repository where you'll find my progressive journey through AI, starting with basic search tasks and advancing through Genetic Algorithms, Probabilistic Inference, Fuzzy Systems, Natural Language Processing, and finally, Computer Vision tasks, programmed in Python.
Code for automated brain tumor segmentation from MRI scans using CNNs with attention mechanisms, deep supervision, and Swin-Transformers. Based on my Master's dissertation project at Brunel University, it features 3 deep learning models, showcasing integration of advanced techniques in medical image analysis.
Flask-based web app analyzes uploaded text or audio files, extracting sentiment and psychological insights for each speaker in dialogues or conversations.
Provides descriptions and implementations of algorithms and their implementations for everything related to Data Science, Machine Learning, Deep Learning and Artificial Intelligence
Analysis of Fortune 1000 companies, focusing on CEO gender's impact on performance. Includes Tableau visualizations and detailed insights derived from extensive data exploration and analysis.
The "Missing Money Matters" project is an engaging SQL and NoSQL training exercise where I played the role of a data analyst for WSDA Music. Tasked with investigating financial discrepancies in the company's records, I utilized SQLite and MongoDB to analyze and manipulate data.
Analyze property prices and furnishing status using R. Includes data cleaning, EDA, price prediction with regression, and furnishing classification with logistic regression. Ideal for real estate insights
This repository contains code and analysis for predicting student dropout and academic success using demographic, socioeconomic, and academic data. Machine learning and deep learning models are implemented in Python and R.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
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.