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Arka Dey's repositories

speech-keras

Code for the blog post "Simple Audio Classification with Keras"

Language:R100

spoken-command-recognition

A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition

Language:Python100

Algorithms-Explanation

All Algorithms explained in simple English Language with example and links to their implementation in various programming languages and other required resources.

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cloud_coverage_image_analysis

Compute the Cloud Coverage Index of an image using a segmentation approach based on color ratios.

Language:PythonMIT000

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

Language:Jupyter NotebookMIT000

DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Language:Jupyter NotebookMIT000

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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DeepFaceLab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

Language:PythonGPL-3.0000

Early-estimation-of-protest-time-spans-Using-NLP-Topic-Modeling

Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large number of protests. This paper uses the English text description of the protests to predict their time spans/durations. The descriptions consist of multiple causes of the protests, courses of actions etc. Next we used unsupervised (topic modeling) and supervised learning (decision trees) to predict the duration of protests. The results are very promising and close to 90% of accuracy in early predicting of the duration of protests.

Language:R000