In this repo, a few topics about useful Machine Learning and Deep Learning algorithms for Fault Detection and Identification are taught.
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Updated
Sep 18, 2023 - Jupyter Notebook
In this repo, a few topics about useful Machine Learning and Deep Learning algorithms for Fault Detection and Identification are taught.
an implementation for ConvLSTM and MovingMnist
Demonstrate time saving with GPU using tensorflow against MNIST & UCSD data
Lab CudaVision: Video Prediction project
This repository contains the source codes for the paper: "PIP: Physical Interaction Prediction via Mental Simulation with Span Selection" published at ECCV 2022.
Code for DeepPaSTL: Spatio-Temporal Deep Learning Methods for Predicting Long-Term Pasture Terrains using Synthetic Datasets
Doing research on building better lane detection models than current systems; leveraging the use of a Convolutional LSTM in an encoder-decoder structure to do so.
Bayesian Optimization of Neural Architectures for Human Activity Recognition
Prediction of material microstructure evolution via convolutional LSTM neural networks. Implementation in pytorch.
Random Forest, Linear Regression, Artificial Neural Network, Long short-term memory (LSTM), Seasonal AutoRegressive Integrated Moving Average(SARIMA) , Deep ConvLSTM Model, Python
Example Recurrent Neural Networks + LSTM (ConvLstm) for Sentiment Analysis in PyTorch
Thesis work on Video Anomaly Detection
Deep Learning for land, oceanic and atmospheric climate variable forecasts
Robust Lane Detection in hazy/foggy environment using Encoder Decoder CNN & LSTM and Dark Channel Prior to tackle with hazy environemnt
Background Replacement in Video Conferencing (IJNDI 2023)
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