AI-ML Based Dehazing / De-smoking Algorithm
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Updated
Feb 24, 2025 - Python
AI-ML Based Dehazing / De-smoking Algorithm
This is a Python3 Implementation of Code-Bullet's NEAT Template, originally programmed in JavaScript. This is intended to be used to easily add an AI to a game.
End to End Deep learning model that generate image captions
Advanced AI system with real quantum computing integration, sophisticated neural architectures, and production-grade infrastructure.
Official pyTorch implementation of StixelNExT paper from IEEE IV 2024
Implementing Deep Q Learning to train a virtual self driving car
A handcrafted convolutional neural network. Matrix multiplication instead of loop operation, very fast.
Sentrix AI is a distributed, autonomous security mesh bridging the gap between passive monitoring and proactive interception. By synthesizing legacy CCTV into a unified neural ecosystem, Sentrix leverages decentralized edge-processing to neutralize threats. This paradigm shift transforms dormant hardware into a life-saving shield.
This project focuses on the classification of neuromuscular diseases using EMG (Electromyography) signals through deep learning. EMG signals carry valuable muscle activity data, which are analyzed using a 1D CNN model to detect health conditions such as Myopathy, Neuropathy, and Healthy states.
neural network from scratch for detect best liar's dice strategy
Dataset of arxiv
Making an autonomous car model in a simulation using Python
Code snippet for Image Operation
Scientific machine learning project for beam propagation modeling, combining physics-based analysis with neural networks to predict beam profiles and propagation behavior.
Comprehensive learning path for deep learning and AI agents. Progressive modules covering neural networks, backpropagation, CNNs, RNNs, and reinforcement learning with practical implementations and detailed explanations.
Welcome to the Jarvis AI Assistant project! Jarvis is designed to be a lightweight, easy-to-use voice-controlled assistant that can perform a variety of tasks
Deep Learning collection covering fundamentals, Computer Vision, NLP, sequential models, and hands-on implementations.
This is our Final Project for our Big Data Class in Second Semister in Lambton College. In this project we learn about Nural Network and see how the change in the Number of Nurons and learning rate effects rate of learning.
A small neural network analyses a folder of 800 images to decide if a fruit is ripe/rotten/unripe and displays the prediction and the confidence scores
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