agrija9/Python-Fundamentals

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Created over 6 years ago
Updated over 5 years ago

agrija9/Python-Fundamentals

agrija9

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Repo containing scripts related to fundamental concepts of Python

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 Bootcamp

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ssl-sonar-images

Code for our paper Self-supervised Learning for Sonar Image Classification [CVPR 2022]

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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 set

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Avalinguo-Dataset-Speaker-Fluency-Level-Classification-Paper-

Code for paper "Speaker Fluency Level Classification using Machine Learning Techniques."

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DLT

A simple python implementation of the normalized DLT algorithm

Avalinguo-Audio-Set

Avalinguo Audio Dataset: Dataset for Speaker Fluency Level Classification

Rosbag-Analyser

Interactive Post-mortem/Live Analysis of ROS Bag Files

Wind-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 captioning

Border-waiting-times---Time-Series-Forecasting-with-LSTM

LSTM model constructed using Keras to predict time series steps. Includes Mexico-USA border waiting times data

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RANSAC

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 François Chollet for deep learning research

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agrija9.github.io

The repository for my website. Hosted by open-source netlify.

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