hadeer-34

hadeer-34's Stars

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.8k2079724

• woodfrog/ActionRecognition

  Explore Action Recognition

  Language:Python1987955

• yinxiL/video-super-resolution

  a collection of classic tensorflow & pytorch cnn models' implementation

  Language:Python1674423

• dipakkr/3d-cnn-action-recognition

  Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.

  Language:Python7351332

• cynicphoenix/Human-Action-Recognition

  Computer Vision Project : Action Recognition on UCF101 Dataset

  Language:Jupyter Notebook381012

• pritamqu/CrissCross

  [AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity

  Language:Python23252

• lxy5513/human_action_recognition

  人体动作识别相关研究

  Language:Python15106

• raf545/BioKey---Keystroke-dynamics-for-user-authentication

  Our project considers various machine learning and deep learning techniques like CNN and RNN based on free-text keystroke features for user authentication. Moreover, we will develop a simple UI to test new users.

  Language:Jupyter Notebook15103

• ahmedgamaleldin14/online-action-recognition

  Implementation of CNN-Based Model for Online Action Recognition

  Language:Python13006

• NateshReddy/Human-Activity-Recgnition

  We worked on action recognition in search and rescue using drone surveillance. Our aim was to classify a video on help or non-help class. Which can be used during a disaster as at many places people can’t reach to check if there is any person needing help but the drone can search the area and notify the location to the rescue team. The data set we used was UCF 101 dataset(contained 101 different classes over 13k video clips) and Help Non-Help data set which was collected by the drone by one of our mentors. The first which we used was the CNN in which we attempted to classify each video based on a single frame. Also we used Inception V3 which was pretrained on imagenet dataset .(also known as transfer learning) Now instead of just classifying based on CNN model,we used CNN+RNN. Now the features extracted from inception V3,we convert those extracted features into sequences of extracted features and then are passed to LSTM after removing the top classification layer.on which we got 89.74% of accuracy.

  Language:Jupyter Notebook72

• aegorfk/QMUL

  Courseworks from my courses

  Language:Jupyter Notebook6205

• cyuquan8/frozen_lake_rl

  Implementation of reinforcement learning techniques on a grid world based problem

  Language:Jupyter Notebook60

• wyzh98/FrozenLake_NUS

  Project 1 #ME5406 Deep Learning for Robotics#

  Language:Python6200

• krishnasampath23/Video-Activity-Recognition

  Recognizing activity performed in videos by performing Deep Learning classification using CNN + LSTM / GRU model on UCF101 and HMDB51 video datasets.

  Language:Python4

• orange-eng/Image_enhancement

  Language:Python3100

• BeeGass/Deep-Q-Learning

  This is my attempt at implementing the paper "Playing Atari with Deep Reinforcement Learning" By Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra and Martin Riedmiller. This is my first attempt at both reading and implementing a research paper.

  Language:Jupyter Notebook2200

• SoumyajitKarmakar/WinterInternship_CEERI

  A Human Action Recognition model using pretrained CNN models for feature extraction and Deep Bidirectional LSTM layers with Self Attention to make the prediction.

  Language:Jupyter Notebook2

• studian/SDC_HW05_Vehicle-Detection

  Self-Driving Nano Degree Program : Vehicle Detection

  Language:HTML2201

• Wassouf289/Human-activity-recognition

  build and train a model that predicts the activity being performed by a human in a video.

  Language:Jupyter Notebook2100

• akenov/ACIN

  Source code to my master thesis "Comparison of Different Machine Learning Algorithms for Action Recognition" at Vienna University of Technology, 2019

  Language:Python1

• antonioborac/deep-conv-models-for-video-classification

  Language:Jupyter Notebook1

• flohansen/mobile-motion-recognition-realtime

  Language:Python10

• MatthiasJakobs/master-thesis

  Language:TeX1110

• robertandrewstevens/RL

  General Reinforcement Learning files

  Language:Jupyter Notebook10

• rzarhmi/thesis-latex

  Language:HTML10

• ShellySrivastava/Advanced-Robotics

  This work was completed as part of MSc in Artificial Intelligence at Queen Mary University of London, UK.

  Language:CMake1

• ShellySrivastava/Deep-Learning-and-Computer-Vision

  This work was completed as part of MSc in Artificial Intelligence at Queen Mary University of London, UK.

  Language:Jupyter Notebook1

• StativaCamelia/PacMan

  Language:Python10

• thisisunix/public_projects

  Language:Python1

• usnehal/retinanet

  retinanet project

  Language:Jupyter Notebook11