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accident_severity_uk_classification

Here, I analyze the Road Safety and Traffic Demographics dataset (UK), containing accidents reported by the police between the years of 2004 - 2017.

accidents-analysis

apl20003

appcon

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-is-all-you-need-pytorch-1

awesome-llm

Awesome-LLM: a curated list of Large Language Model

bert

TensorFlow code and pre-trained models for BERT

bert-for-sentiment-analysis

blog-binary-classification-metrics

Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"

capstone-project-2

Corona Virus Sentiment Analysis.This challenge asks you to build a classification model to predict the sentiment of COVID-19 tweets.The tweets have been pulled from Twitter and manual tagging has been done then.

car-accident-analysis

Analyzing car accidents in the United Kingdom using PySpark and Python for big data processing.

covid19-analysis

Analysis of social media conversations surrounding COVID-19 in Singapore

covid19-tweet-sentiment-analysis-and-eda

The COVID-19 Tweets dataset hosted on Kaggle has 92,276 unique tweets related to the COVID-19 pandemic. Each tweet containes the high-frequency hashtag (#covid19) and are scrapped using Twitter API. The dataset does not contain sentiment labels corresponding to each tweet. Thus, supervised learning (ML/DL) methods cannot be used directly for training on the dataset.

covid19-vaccy-tweets-nlp

Sentiment Analysis of COVID-19 Vaccine Tweets

covid19_sentinentanalysis

We use LSTM (Long Short-Term Memory) and BERT based models to carry out modeling and visualisation of the tweets based on Covid-19 in the year 2020. We further correlate various emotions with each tweet and see how the world responded to the pandemic in the internet.

covid19_twitter

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

dasmoto

data-centric-comp

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

emoji

:card_index: All of the emoji supported on GitHub pull requests, issues, comments, commit messages, markdown files, etc.

emotiondetectionbert

Multi Emotion Detection from COVID-19 Text using BERT

emulatedquestionnaireontwitter

exploratory-data-analysis-on-smrt-tweets

Demo on performing exploratory data analysis (EDA) on train service disruptions based on scrapped (user generated contents) tweets from the train operator's (SMRT) twitter account

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

ff-python-server-sdk

final-year-project

Sentiment analysis for Twitter. A final year project at QUB.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

git_practice

google-generative-ai

Sample code and notebooks for Generative AI on Google Cloud, including Gemini