Pinned Repositories
DistributedML
Distributed Machine Learning Pipeline for CloudMesh
Connect4AI
Creating an AI in Java that uses algorithms of connect4 to create an optimal and perfect solution for connect4.
Pathfinding-Algorithm
Using Java, implemented famous pathfinding algorithms *visually* using processing. Algorithms such like A* or Dykstra's Algorithm.
pharmahacks_multi_disease_classification
Multi-output ML algorithm to determine disease in patient based on gastrointestinal data
Text_Recognition_Glasses
Developing wearable technology (glasses) using Optical Character Recognition and NLP
tohacks22
Developed a safety monitoring platform that leverages sentiment analysis on children’s conversation to alert parents of harmful verbal altercations
UltraAnalysis
Developed a semantic segmentation algorithm to discover malignant cell clusters in ultrasounds using the UNet and ENet architectures
rayaq-siddiqui's Repositories
rayaq-siddiqui/UltraAnalysis
Developed a semantic segmentation algorithm to discover malignant cell clusters in ultrasounds using the UNet and ENet architectures
rayaq-siddiqui/Connect4AI
Creating an AI in Java that uses algorithms of connect4 to create an optimal and perfect solution for connect4.
rayaq-siddiqui/Pathfinding-Algorithm
Using Java, implemented famous pathfinding algorithms *visually* using processing. Algorithms such like A* or Dykstra's Algorithm.
rayaq-siddiqui/Text_Recognition_Glasses
Developing wearable technology (glasses) using Optical Character Recognition and NLP
rayaq-siddiqui/pharmahacks_multi_disease_classification
Multi-output ML algorithm to determine disease in patient based on gastrointestinal data
rayaq-siddiqui/tohacks22
Developed a safety monitoring platform that leverages sentiment analysis on children’s conversation to alert parents of harmful verbal altercations
rayaq-siddiqui/computer-vision-bootcamp
Training a CNN on the Cifar10 dataset
rayaq-siddiqui/GameOfLife
Java based visual implementation of the famous Conley's Game of Life. To best view, use processing. It shows the fundamentals of using multiple classes and combining them to create a functional program.
rayaq-siddiqui/HAM10000
Training a CNN on the HAM10000 dataset using Tensorflow
rayaq-siddiqui/ham10000_website_backend
Building backend for machine learning model in Django
rayaq-siddiqui/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rayaq-siddiqui/rayaq-siddiqui
Homepage for Github
rayaq-siddiqui/react-snake-game-ai
Creating an AI for Snake using React and JS
rayaq-siddiqui/real-estate-eth-blockchain
Simulating the Real Estate Market on the Ethereum Blockchain
rayaq-siddiqui/rl-car-racing
Experimenting with Reinforcement learning in a car racing environment
rayaq-siddiqui/semantic_segmentation_self_driving_cars
Training semantic segmentation algorithms on self driving cars dataset
rayaq-siddiqui/snake_rl
Experiments with reinforcement learning and snake game
rayaq-siddiqui/ss_neural_translation_machine
Neural Machine Translation with Tensorflow
rayaq-siddiqui/StockMarketDataAnalysis
Using Java, I created a stock market scraper that pulls information for any given stock. Based on these values, we complete one and two variable analysis using Data Management fundamentals and see if a specific model is accurate in predicting the stock market.
rayaq-siddiqui/unsupervised_log_anomaly
Experimenting with different unsupervised log anomaly detection techniques