Stages blog posts, plus has C++ sources which match posts. Blog about artificial central nervous systems + autonomous tools
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Updated
Jun 8, 2024 - HTML
Stages blog posts, plus has C++ sources which match posts. Blog about artificial central nervous systems + autonomous tools
Symbiosis Institute of Technology,Pune- Masters Final Year Project Repository for the Academic Year (2022-2024)
Collect some World Models for Autonomous Driving papers.
PyMilo: Python for ML I/O
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
ChessBot Z is an innovative web application that combines the excitement of chess with the power of artificial intelligence. Designed for both chess enthusiasts and AI enthusiasts alike, this project offers a dynamic and challenging chess-playing experience.
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
Maze Project on the subject of Uninformed search in artificial intelligence and expert systems course
Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.
This project was presented for the Artificial Intelligence course for the academic year 2022/2023. It explores various methods to solve the N-Queens problem, including Random Search, Backtracking, Hill-Climbing, Simulated Annealing, and Genetic Algorithms. Each method is evaluated for its efficiency and effectiveness in finding solutions.
AI mini projects
Predicting Hepatocellular Carcinoma through Supervised Machine Learning
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Implemented movie recommendation with LightGCN. Evaluated against 5 CF methods, emphasizing precision and recall. Created interactive website with HTML, CSS, JS, Flask for personalized recommendations, enhancing UX. Achieved 96% accuracy.
Predicting whether a person will survive the Titanic crash.
A framework to develop neural networks on CPP
Global Analysis Inter-Network Synergies owned by Samuel Global Management LLC
This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.
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