17 Repositories
Python trends Libraries
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
Analysis of a dataset of 10000 passwords to find common trends and mistakes people generally make while setting up a password.
7 Sep 4, 2022
The 7th edition of NTIRE: New Trends in Image Restoration and Enhancement workshop will be held on June 2022 in conjunction with CVPR 2022.
NTIRE 2022 - Image Inpainting Challenge Important dates 2022.02.01: Release of train data (input and output images) and validation data (only input) 2
37 Nov 27, 2022
Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products
Contains analysis of trends from Fitbit Dataset (source: Kaggle) to see how the trends can be applied to Bellabeat customers and Bellabeat products.
2 Jan 12, 2022
Generating new names based on trends in data using GPT2 (Transformer network)
MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin
2 Jan 10, 2022
Covid-19-Trends - A project that me and my friends created as the CSC110 Final Project at UofT
Covid-19-Trends Introduction The COVID-19 pandemic has caused severe financial s
1 Jan 7, 2022
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
This app displays interesting statistical weather records and trends which can be used in climate related research including study of global warming.
0 Dec 27, 2021
Pseudo API for Google Trends
pytrends Introduction Unofficial API for Google Trends Allows simple interface for automating downloading of reports from Google Trends. Only good unt
2.6k Dec 28, 2022
Project made to analyse movie trends
MovieTrends Project to analyse the daily movie trends from the website The Movie DataBase. The main idea is upload the results to a PostgreSQL server
0 Feb 15, 2022
An information scroller Twitter trends, news, weather for raspberry pi and Pimoroni Unicorn Hat Mini and Scroll Phat HD.
uticker An information scroller Twitter trends, news, weather for raspberry pi and Pimoroni Unicorn Hat Mini and Scroll Phat HD. Features include: Twi
5 Oct 31, 2022
An information scroller Twitter trends, news, weather for raspberry pi and Pimoroni Unicorn Hat Mini and Scroll Phat HD.
uticker An information scroller Twitter trends, news, weather for raspberry pi and Pimoroni Unicorn Hat Mini and Scroll Phat HD. Features include: Twi
1 Nov 28, 2021
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Description Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Ti
4.1k Jan 9, 2023
LSTMs (Long Short Term Memory) RNN for prediction of price trends
Price Prediction with Recurrent Neural Networks LSTMs BTC-USD price prediction with deep learning algorithm. Artificial Neural Networks specifically L
5 Nov 12, 2021
A data analysis using python and pandas to showcase trends in school performance.
A data analysis using python and pandas to showcase trends in school performance. A data analysis to showcase trends in school performance using Panda
0 Sep 7, 2021
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
TCube: Domain-Agnostic Neural Time series Narration This repository contains the code for the paper: "TCube: Domain-Agnostic Neural Time series Narrat
7 Oct 31, 2021
Analyze FnO trends by using NSE Bhav copy
BhavFnO Analyze FnO trends by using NSE Bhav copy Download entire BhavFnO folder and unzip it In that folder open command window
33 Jan 4, 2023
A python library for Bayesian time series modeling
PyDLM Welcome to pydlm, a flexible time series modeling library for python. This library is based on the Bayesian dynamic linear model (Harrison and W
438 Dec 17, 2022
See trending stock tickers on Reddit and check Stock perfomance
See trending stock tickers on Reddit and check Stock perfomance
1.5k Jan 6, 2023