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bert-sentiment-analysis

Bert Sentiment Analysis

brainstorm

computer-vision

Computer Vision UNCC

computer-vision---lowe-s-collaboration

Computer Vision - Lowe's Industry Colleboration Project

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deep_learning_for_computer_vision

Deep Learning Module for Computer Vision Course

detect-bees-computer-vision

Bees Detection - Computer Vision

django-blog

Django Blog with Publish, comments and approve options

food-ordering-system

Food Ordering System - Web Application on PHP

fraud-detection

Fraud Detection based on Excel Data

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.

google-play-store-data-modelling

Predict App Domain Market and other characteristics

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

irony_detection

Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"

ironydetectionintwitter

A Simple and Accurate Neural Network Model for Irony Detection in Twitter

kbs-cancer-detection-computer-vision

Cancer Detection using CVV based on Skin Images

machine-fault-detection

Predict fault in a machine before it becomes dead

map-coloring

Map Coloring USA

ml-assignments-andrew-ng

Machine Learning Assignments

music-recommender-system

Music Recommendation System using traditional and Pyspark method

natural-language-processing

Natural Language Processing

sarcasmdetection

detect Sarcasm in a text or document

spotify-song-recommendation-ml

UC Berkeley team's submission for RecSys Challenge 2018

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.