XingyuJinTI/sequential_model_pytorch_rnn_1dcnn

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Created over 4 years ago
Updated over 1 year ago

XingyuJinTI/sequential_model_pytorch_rnn_1dcnn

XingyuJinTI

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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) YOLOv3

WhaleID

Kaggle: Humpback Whale Identification

Jupyter Notebook

Two-view-3D-construction

Two-view 3D construction via 2.5D sketches

anlp_assignment1

Assignment1 of Accelerated Natural Language Processing at the University of Edinburgh

wsad

Weakly Supervised Action Detection

anlp_assignment3

Assignment 3 of Accelerated Natural Language Precessing

Deep-Learning-Practical-Assignment-1

Implement CNN packages from scratch using python

Jupyter Notebook