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CUDA-Connected-Component-Labelling
Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect connected regions in binary digital imagesRoomNet
A lightweight ConvNet (~700 KB) to classify pictures of different rooms of a house/apartment with 88.9 % accuracySHM-Learn
A CUDA & cuDNN powered Deep Learning C++ Library with clean interface and faster training speed (6x more over Caffe)SHMatrix
A neat C++ custom Matrix class to perform super-fast GPU (or CPU) powered Matrix/Vector computations with minimal code, leveraging the power of cuBLAS where applicable.naive-dqn-maze
Maze Solver from scratch (under 260 lines) using Naive Reinforcement Learning with Q-Table constructionLens-Smear-Detection
Python implementation of a Computer Vision algorithm to automatically extract lens smear regions from a batch of input images.Link-State-Routing-Simulator-CS-542
A C++ simulator to simulate Link State Routing protocols used in Computer Networkspark.ai
Codebase to perform real-time detection+tracking of cars across different camera sourceshigh-vision
microsoft ai hackathon submission for cloud coverage segmentationBusiness-Expansion-Engine-CS579
A Python application which analyses the social network pertaining to a given twitter handle and gives recommendations on the people in the network most likely to embrace a given product or service.Love Open Source and this site? Check out how you can help us