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ai-audio-datasets-list

This is a list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. It is mainly used for speech recognition, speech synthesis, singing voice synthesis, music information retrieval, music generation, etc.

ai-healthcare-chatbot

Through a series of questions about symptoms it diagnosis the health condition of patient.

amazon-scraper

A simple web scraper to extract Product Data and Pricing from Amazon

aspect-based-sentiment-analysis-ire-major-project

audio-recorder

autosum

autosum2

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-industrial-machine-datasets

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

awsflask

brainentech---dataset-1---funny-vs-boring-videos

This EEG dataset is created with the intention of classifying funny vs boring videos over approx 30 minutes. A subject is shown 5 minutes of a boring video followed by another 5 minutes of a funny video. This process persisted over 3 cycles. Brain EEG is aggregated over each second and their corresponding video classes are noted.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

course-v3

The 3rd edition of course.fast.ai

credit_scoring

creditriskpaper

Codes for replication and implementation of techniques in our credit risk article

data

Data and code behind the articles and graphics at FiveThirtyEight

detection-of-jewellery-accessories-with-image-captioning

Final degree project that provides useful tools to train and test different architectures based on Image Captioning for the classification of jewellery accessories.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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.

empatheticintents

evp

Code for paper 'Audio-Driven Emotional Video Portraits'.

exploring-the-non-linear-relationship-between-crimes-and-gdp-using-generalized-additive-models

This repository contains the script and figures of the conference paper selected for presentation at the Latin American Conference of Computationa Intelligence 2018. The abstract of the paper is as follows: Crime is an important social and economic problem of South Africa. Though certain categories of crimes are of serious proportions, yet on aggregate the overall crime situation in the country has considerably improved in the last decade or so. A number of previous studies across other countries have shown a positive or negative relationship between crime and economic growth. On a microeconomic/provincial scale, this paper studies the relationship between various categories of crimes and economic growth using the non-linear modeling technique of Generalized Additive Models. Such a modeling approach helps in understanding how various categories of crimes complexly affect GDP.

facebook_analytics_on_ndtv_using_r_and_shiny

This project is a visual and NLP based interactive analytics to understand what NDTV shares in facebeeok in terms of posts, images, and videos; and how its followers/subscribers react to such postings. It consists of two modules: PART 1: is where NDTV's facebook posts are fetched using the Rfacebook package. The script used in fetching the data is named "ndtv_getPage.R" The data fetched from script is saved as "ndtvpage.rds" Please fill in your app_id and app_secret in the fields marked XXXX. PART 2: The shiny scripts are ui.R and server.R Please set the appropriate paths for the readRDS() and the scan() functions. positive.csv and negative.csv are repository of positive and negative sentiment words.

gun-violence-data

A comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

imagesimilarity

Image similarity using Autoencoder

indian-food-app-detect-biriyani-pulao-friedrice

Starter app for fastai v3 model deployment on Render

insect_egg_database_viz

Data visualization of the insect egg database

intelligent-workloads-at-the-edge

Intelligent Workloads at the Edge, published by Packt