Robotics Perception and Control
Integrated perception and control system for robotic manipulation using computer vision and reinforcement learning
Below are some of my open-source projects hosted on GitHub. Each project includes detailed documentation and implementation.
Integrated perception and control system for robotic manipulation using computer vision and reinforcement learning
Collection of fundamental robotics algorithms including path planning, SLAM, and control
Air Quality Index prediction and analysis using machine learning and environmental data
A comprehensive collection of deep learning algorithms and architectures for various AI applications
Deep learning-based brain tumor segmentation using GANet-Seg architecture for medical image analysis
Graph Neural Network approach to solving cold-start problems in recommendation systems with dynamic embeddings
Enhanced BERT4Rec model with graph-based embeddings for improved sequential recommendation performance
Seasonal ARIMA modeling toolkit for time series forecasting with automated parameter selection
Implementation of modern convex optimization algorithms with applications in machine learning and signal processing
Machine learning system for credit card fraud detection using XGBoost with advanced feature engineering
Advanced credit risk assessment using machine learning techniques for loan default prediction
Implementation of Deep Interest Network for click-through rate prediction in recommendation systems
Content-based and collaborative filtering recommendation system for anime using user ratings and metadata
Natural language processing system for automated insurance claims analysis and classification
Numerical methods for solving partial differential equations with applications in physics and engineering