agrija9/Udemy-Python-for-Data-Science-and-Machine-Learning-Bootcamp agrija9/Udemy-Python-for-Data-Science-and-Machine-Learning-Bootcamp

  • Stars
    star
    34
  • Rank 766,985 (Top 16 %)
  • Language
    Jupyter Notebook
  • Created about 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
agrija9/Udemy-Python-for-Data-Science-and-Machine-Learning-Bootcamp
github

agrija9

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code Repo with My Solved Exercises From the Udemy Bootcamp

More Repositories

1

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.
Python
79
star
2

ssl-sonar-images

Code for our paper Self-supervised Learning for Sonar Image Classification [CVPR 2022]
Jupyter Notebook
26
star
3

Convolutional-VAE-for-3D-Turbulence-Data

A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.
Python
21
star
4

Environmental-Sound-Classification-ESC-using-neural-networks-and-other-classifiers

Audio feature extraction and multi-classification with the ECS-10 data set
Jupyter Notebook
19
star
5

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

Code for paper "Speaker Fluency Level Classification using Machine Learning Techniques."
Jupyter Notebook
17
star
6

DLT

A simple python implementation of the normalized DLT algorithm
Python
10
star
7

Avalinguo-Audio-Set

Avalinguo Audio Dataset: Dataset for Speaker Fluency Level Classification
8
star
8

Rosbag-Analyser

Interactive Post-mortem/Live Analysis of ROS Bag Files
JavaScript
7
star
9

Wind-Turbine-Anomaly-Detection-VRAE

Code for paper "Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders."
Python
6
star
10

Image-Captioning-With-Attention

Tensorflow implementation of attention mechanisms for image captioning
Python
6
star
11

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
Jupyter Notebook
3
star
12

RANSAC

A simple python implementation of the RANSAC algorithm:, as described in Zisserman Multiple View Geometry (2nd edition)
Python
2
star
13

Tensorflow-2.0

TensorFlow 2.0 + Keras guide by Franรงois Chollet for deep learning research
Jupyter Notebook
1
star
14

Python-Fundamentals

Repo containing scripts related to fundamental concepts of Python
Jupyter Notebook
1
star
15

agrija9.github.io

The repository for my website. Hosted by open-source netlify.
Jupyter Notebook
1
star