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Deep-Unsupervised-Domain-Adaptation
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.Udemy-Python-for-Data-Science-and-Machine-Learning-Bootcamp
Code Repo with My Solved Exercises From the Udemy Bootcampssl-sonar-images
Code for our paper Self-supervised Learning for Sonar Image Classification [CVPR 2022]Convolutional-VAE-for-3D-Turbulence-Data
A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.Environmental-Sound-Classification-ESC-using-neural-networks-and-other-classifiers
Audio feature extraction and multi-classification with the ECS-10 data setAvalinguo-Dataset-Speaker-Fluency-Level-Classification-Paper-
Code for paper "Speaker Fluency Level Classification using Machine Learning Techniques."DLT
A simple python implementation of the normalized DLT algorithmRosbag-Analyser
Interactive Post-mortem/Live Analysis of ROS Bag FilesWind-Turbine-Anomaly-Detection-VRAE
Code for paper "Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders."Image-Captioning-With-Attention
Tensorflow implementation of attention mechanisms for image captioningBorder-waiting-times---Time-Series-Forecasting-with-LSTM
LSTM model constructed using Keras to predict time series steps. Includes Mexico-USA border waiting times dataRANSAC
A simple python implementation of the RANSAC algorithm:, as described in Zisserman Multiple View Geometry (2nd edition)Tensorflow-2.0
TensorFlow 2.0 + Keras guide by Franรงois Chollet for deep learning researchPython-Fundamentals
Repo containing scripts related to fundamental concepts of Pythonagrija9.github.io
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