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sequential_model_pytorch_rnn_1dcnn
Sequential data using RNN (LSTM, GRU, etc) CNN and RCNN. Adaptable to variable length input sequence.Skeleton-based-cyclist-hand-signal-and-attention-recognition
Spatial Temporal Graph Convolutional Neural Networks: Recognise hand signals such as to turn left, to turn right and to stop; Identify whether the cyclist notices the vehicles behind or beside (OpenPose + Kinetics + NTU RGB+D )DeepView3D
Viewpoint-based 3D reconstruction network (First Place of IBM Prize for Machine Learning @ University of Edinburgh)Object-Detection-and-Action-Recognition-for-Driverless-Vehicles
Object Detection on traffic scenario and Action Recognition (for driverless vehicles) YOLOv3WhaleID
Kaggle: Humpback Whale Identificationanlp_assignment1
Assignment1 of Accelerated Natural Language Processing at the University of Edinburghwsad
Weakly Supervised Action Detectionanlp_assignment3
Assignment 3 of Accelerated Natural Language PrecessingDeep-Learning-Practical-Assignment-1
Implement CNN packages from scratch using pythonLove Open Source and this site? Check out how you can help us