370 skills found · Page 6 of 13
lukapopijac / Gaussian Mixture ModelUnsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.
LeadingIndiaAI / Real Time Multiple Object DetectionThe ability of the computer to locate and identify each object in an image/video is known as object detection. Object detection has many applications in self-driving cars, pedestrian counting, face detection, vehicle detection etc. One of the crucial element of the self-driving car is the detection of various objects on the road like traffic signals, pedestrian’s other vehicles, sign boards etc. In this project, Convolutional Neural Network (CNN) based approach is used for real-time detection of multiple objects on the road. YOLO (You Only Look Once) v2 Deep Learning model is trained on PASCAL VOC dataset. We achieved mAP score of 78 on test dataset after training the model on NVIDIA DGX-1 V100 Super Computer. The trained model is then applied on recorded videos and on live streaming received through web cam.
canoalberto / Imbalanced StreamsA survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
megatran / EmotionRecognitionOnHologramA system that can recognize human facial expression and analyze emotions (i.e: happy, sad, angry...) using CV and Machine Learning. After that, the human emotion data is streamed to a Unity character which is projected on a DIY pyramid hologram.
Gyanthakur / Edemy LMSEdemy LMS is a full-stack learning management system (LMS) that provides educators and students with a seamless e-learning experience. Built using modern web technologies, it includes user authentication, course management, video streaming, and progress tracking.
sergio11 / Traffic Sentinel Architecture📚🧪 Traffic Sentinel is a learning-focused POC that explores a scalable IoT architecture using Fog nodes and Apache Flink to process 📷 IP camera streams, powered by YOLO for intelligent 🚗 traffic monitoring on highways. 🛣️
IBM / SailLibrary for streaming data and incremental learning algorithms.
giorgioinf / Twitter Stream MlMachine Learning over Twitter's stream. Using Apache Spark, Web Server and Lightning Graph server.
thu-media / TiyuntsongA romantic self-play reinforcement learning approach for ABR video streaming
doerlbh / MentalRLCode for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
Xtra-Computing / PyOEPython library for data stream learning
YuxuanIAIR / MSRL MasterOfficial code for AAAI 2023 paper "Multi-stream Representation Learning for Pedestrian Trajectory Prediction"
DamianB-BitFlipper / JS OSJS-OS is an operating system that is streaming to become a unix clone, but with some added/better capabilities. This project was started in late 2012 by a high school student. This operating system is meant to be learning tool for both the developer and the user. The code is mostly commented and not too difficult to follow.
cjermain / Flink Onnx PytorchStreaming machine learning using PyTorch, Flink, and ONNX
trongate / MydemyAn open source video learning website with a shopping cart, video streaming, affiliates management and more.
flinder / Active StreamActive learning support for targeted Twitter stream
lucidrains / Streaming Deep RlExplorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta
NohaAhmad / Augmented Reality HUD Using Deep LearningThe project utilizes the power of deep machine learning to detect and classify the surrounding environment hazards for vehicle. This includes passers-by, traffic signs and other vehicles in road. The implemented system streams live scene of vehicle traffic augmented with hazards alerts detected through the virtual reality headset. The system also augments navigation, music player and phone calls. The goal is to give the driver un- preceded level of visual information to keep him safe on the road.
dha-stix / Stream LmsA Social Learning Platform built with Next.js, Supabase, and Stream
puyash / Two Stream CnnA two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
