Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/kwanit1142/mask-v-s-no-mask-face-detection-models

Machine-Learning Models based Detection System for Masked v/s No-Masked Human Faces (Can be implemented on Grouped Images too)

deep-learning machine-learning matplotlib numpy opencv pandas pil scipy seaborn skimage sklearn

Last synced: 13 Jan 2025

https://github.com/rhazra-003/indiebot

A basic chatbot which answers questions based on history of India

chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn

Last synced: 25 Jan 2025

https://github.com/raihan4520/cvpr

Jupyter Notebook projects in Python coded during my Computer Vision and Pattern Recognition course at AIUB, focusing on core computer vision techniques.

computer-vision convolutional-neural-network emotion-detection face-mask-detection jupiter-notebook keras matplotlib numpy opencv pandas python tensorflow

Last synced: 14 Nov 2024

https://github.com/sebsikora/curve_fitting

A short guide to using Python tools to perform arbitrary curve-fitting of research data via constrained minimisation.

curve-fitting minimisation numpy optimisation python scipy

Last synced: 03 Feb 2025

https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 08 Feb 2025

https://github.com/mchenryspagg/outlier-detection-in-election-data

This project aims to examine possible voting irregularities in Nigeria's 2023 election, focusing on alleged vote manipulations by INEC. It seeks to ensure election transparency by identifying polling units with results that significantly differ from nearby units.

geographic geographical-information-system geospatial-analysis geospatial-data latitude-and-longitude matplotlib-pyplot numpy outlier-detection pandas python seaborn

Last synced: 12 Feb 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 14 Jan 2025

https://github.com/uhstray-io/pyrizon

Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python

api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow

Last synced: 03 Feb 2025

https://github.com/guifernandess7/megasena-estatisticas-e-analises

Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.

megasena numpy python

Last synced: 21 Jan 2025

https://github.com/hansalemaos/cythonnestednumpy

performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.

cython hash numpy sorting

Last synced: 01 Feb 2025

https://github.com/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 30 Dec 2024

https://github.com/abhihirekhan/abhi-s-data-science-portfolio

A list of data science projects completed by me for academic, self learning, and creative purposes

datascience ipynb-jupyter-notebook jupyter jupyter-kernels jupyter-notebook keras-tensorflow machine-learning numpy pandas portfolio python tensorflow

Last synced: 12 Jan 2025

https://github.com/bl33h/relations

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

discrete-mathematics matrix matrix-operations numpy python relations

Last synced: 21 Jan 2025

https://github.com/kernferm/presidential-future-events-impact-simulation

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 01 Feb 2025

https://github.com/kiritoind/neural-network-for-cat-image-classification

This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction

classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python

Last synced: 05 Jan 2025

https://github.com/yash22222/terrorist-activity-forecasting-and-risk-assessment-system

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

corpora data-vizualisation folium-maps gensim global-terrorism-database lda machine-learning matplotlib networkx nltk nmf numpy pandas python random-forest-classifier seaborn sklearn spacy textblob vader-sentiment-analysis

Last synced: 05 Jan 2025

https://github.com/yash22222/sync-intern-s-ml-tasks

SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.

bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns

Last synced: 05 Jan 2025

https://github.com/yash22222/data-analysis-with-python

This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.

binning data data-acquisition data-analysis data-binning data-cleaning data-formatting data-integration data-normalization data-preprocessing data-science data-transformation data-wrangling dataframe description numpy pandas pandas-dataframe python python3

Last synced: 05 Jan 2025

https://github.com/prashver/customer-segmentation

This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.

customer-segmentation matplotlib numpy pandas seaborn sklearn

Last synced: 14 Jan 2025

https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Feb 2025

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 14 Jan 2025

https://github.com/prashver/salary-prediction-on-scraped-data

This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver

Last synced: 14 Jan 2025

https://github.com/christophercrouzet/nani

Alternative approach to defining and viewing NumPy's arrays.

dtype nani numpy view wrap

Last synced: 20 Jan 2025

https://github.com/emperoryp7/covid-simulator

Application simulating the spread of COVID-19

covid-19 numpy pandemic-simulator python3 simulator

Last synced: 06 Jan 2025

https://github.com/moataz-elmesmary/analog-clock-opencv

Computer vision project implemented with OpenCV

computer-vision cv2 numpy opencv

Last synced: 20 Jan 2025

https://github.com/moataz-elmesmary/genomics-project

Web App depends on ML in Detecting diabetes in its early stages so that doctors can treat it. Also the web site includes some important information about the disease and its symptoms. Check it out for more details.

diabetes-prediction flask frontend-app numpy pandas random-forest sklearn

Last synced: 20 Jan 2025

https://github.com/rahulvictor12/the-movie-database-data-scrapper

A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.

beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping

Last synced: 30 Dec 2024

https://github.com/carlolepelaars/q4p

Quantum Computing for Python

numpy python quantum quantum-computing

Last synced: 30 Dec 2024

https://github.com/nirmalvatsyayan/data-analyst-nanodegree

Udacity data analyst nanodegree project submissions and learning

data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree

Last synced: 12 Jan 2025

https://github.com/dhruvsrikanth/pynn

Purely NumPy based API for building deep neural networks.

deep-learning deep-learning-framework machine-learning numpy python pytorch

Last synced: 16 Feb 2025

https://github.com/official-biswadeb941/mayabati---your-personal-ai-chef

Mayabati is a personal AI chef designed for enhancing culinary experience. Crafted by Biswadeb Mukherjee, a leading developer of ParseSphere Innovations.

flask flask-api flask-application gensim-word2vec keras-models keras-neural-networks keras-tensorflow nltk numpy pickle pytorch tensorflow

Last synced: 13 Jan 2025

https://github.com/gappeah/income-prediction-ml

This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.

data data-science machine-learning ml numpy pandas python random-forest scikit-learn

Last synced: 09 Feb 2025

https://github.com/amari-calipso/papers-please-tasbot

A "Papers, Please" TASbot that offers a programmable interface with the game

cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun

Last synced: 19 Dec 2024

https://github.com/briankopp/fewerbytes

compress numpy arrays. binary and numeric techniques for numpy compression

compress compression numpy python python3 storage

Last synced: 09 Feb 2025

https://github.com/walidbosso/roberta_fine_tuning_sentiment_analysis

Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.

bert classification fine-tuning huggingface machine machine-learning movies-reviews neural-network nlp-machine-learning numpy pandas pytorch roberta roberta-model roberta-tokenizer sentiment-analysis transformer

Last synced: 28 Jan 2025

https://github.com/Zion-Dev1/E-commerce-Analysis

Short machine learning project which analyses customer behaviour 🔎

analysis clustering ecommerce machine-learning numpy pandas sklearn

Last synced: 09 Feb 2025

https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3

Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.

convection-diffusion finite-difference-method fokker-planck-equation heat-equation jupyter-notebook mathematical-modelling matplotlib matplotlib-animation numpy python3 transport-equation

Last synced: 06 Dec 2024

https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users

Bulk remove OneSignal subscribed users blazingly faster with parallel processing.

numpy pandas python python-logger python-multiprocessing python-threading python3

Last synced: 02 Nov 2024

https://github.com/msthamizh/singapore-resale-flat-prices-predicting

Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.

exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 21 Jan 2025

https://github.com/vinicius999/eda-basketball-streamlit

Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.

numpy pandas python streamlit webapp webscraping

Last synced: 12 Jan 2025

https://github.com/svetlanam/data-scripts

Simple scripts for data cleaning, etl transformations and data reorganisations

data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema

Last synced: 13 Jan 2025

https://github.com/safo-samson/data_mining-and-analytics

This data mining and analytics project focus on unraveling crucial insights related to road safety using a comprehensive dataset. This dataset encompasses diverse details, including the count of vehicles involved, the number of casualties, and the severity of accidents.

anaconda jupyter-notebook numpy pandas python3

Last synced: 08 Jan 2025

https://github.com/listiangr/play_tennis_classification

Proyek ini menganalisis data tentang kondisi cuaca untuk memprediksi apakah seseorang akan bermain tenis atau tidak. Tujuan utamanya adalah memberikan prediksi yang akurat berdasarkan faktor-faktor seperti cuaca, suhu, kelembapan, dan angin.

classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn

Last synced: 01 Feb 2025

https://github.com/jilliennelapid/finalproject_group53

Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.

matplotlib numpy pydub python scipy tkinter

Last synced: 21 Jan 2025

https://github.com/shibam120302/plant_deseases_prediction

Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.

keras numpy opencv python

Last synced: 21 Jan 2025

https://github.com/anfany/python3-practice

基于Python3的多种工具实例代码、以及流行库的使用贴士

matplotlib numpy pandas python3 tensorflow tips

Last synced: 17 Feb 2025

https://github.com/kernferm/pytorch-to-tensorrt-model-converter

This project provides a comprehensive Python script to convert a PyTorch model to an ONNX model and then to a TensorRT engine for NVIDIA GPUs, followed by performing inference using the TensorRT engine. This script is designed to handle the entire conversion process seamlessly.

convert gpu numpy nvidia nvidia-gpu onnx pytorch tensorrt tensorrt-conversion yolo yolov5 yolov8

Last synced: 12 Feb 2025

https://github.com/yuanx749/complex_systems

A Python package for studying complex systems.

jupyter matplotlib networkx numpy pep8 project scipy streamlit

Last synced: 08 Jan 2025

https://github.com/athari22/house_sales_in_king_count_usa

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library

Last synced: 30 Dec 2024

https://github.com/ayaanjawaid/google_playstore_data_analysis

This project provides an in-depth analysis of Google Play Store apps and user reviews, focusing on understanding app performance, user sentiment, and key trends in app categories. Using Python, I performed data cleaning, feature engineering, and exploratory data analysis (EDA) on app data and reviews.

data-analysis eda html numpy pandas-dataframe plotly python vizualisation

Last synced: 31 Oct 2024

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 11 Jan 2025

https://github.com/kishore-sr/creditworthy

AI-powered web app built at "Codeathon 2024" IIIT Bangalore

clerk-auth node-js numpy pandas python reactjs streamlit

Last synced: 26 Jan 2025

https://github.com/bsc-dom/npp2nvm

NumPy Persistence to Non-Volatile Memory

numpy nvm persistent-data-structure pmdk

Last synced: 13 Jan 2025

https://github.com/7irelo/regressor-model

Video Game Sales Prediction using Decision Tree Regression

joblib matplotlib numpy pandas scikit-learn

Last synced: 13 Jan 2025

https://github.com/FredStober/cpp2numpy

cpp2numpy is a C++ library to write numpy files

c-plus-plus numpy

Last synced: 22 Nov 2024

https://github.com/kientech/laptop-price-prediction-with-machine-learning

The Laptop Price Prediction with Machine Learning project provides a system to predict the price of laptops based on various features such as processor type, RAM size, storage capacity, and more/

airflow data data-science data-visualization fastapi heroku-deployment machine-learning-algorithms matplotlib-pyplot numpy pandas python reactjs seaborn

Last synced: 26 Jan 2025

https://github.com/wyllduck/pygame_escapefromgaia

PYGAME / 2018 / university: ETSEIB-UPC / title: 'Escape from Gaia'

matplotlib networkx numpy pygame python3

Last synced: 06 Jan 2025

https://github.com/harmanveer2546/movie-industry

Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.

business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn

Last synced: 12 Jan 2025

https://github.com/aryansk/fake-news-detection

A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!

fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 01 Feb 2025

https://github.com/akku-1206/zomato_scrapping

Zomato Restaurant Data Scraper This script uses Selenium to scrape restaurant information from the Zomato NCR delivery page.

chromewebdriver numpy pandas python selenium

Last synced: 05 Jan 2025

https://github.com/danibcorr/streamlit-sales-suite

📊 An all-encompassing web platform for data analysis and visualization, powered by Streamlit, complemented by an automated item classifier that streamlines the process of label assignment.

data-analysis data-science data-scraping data-visualization deep-learning insights keras machine-learning mlflow mlops numpy pandas plotly python sales sales-analysis streamlit streamlit-dashboard tensorflow

Last synced: 21 Jan 2025

https://github.com/cchandre/confkam

Conjugation method in configuration space for invariant tori of Hamiltonian systems

conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy

Last synced: 08 Jan 2025

https://github.com/cchandre/quasiperiodic_frenkel-kontorova

Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media

dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy

Last synced: 08 Jan 2025

https://github.com/cchandre/rg

Renormalization for the break-up of invariant tori in Hamiltonian flows

expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy

Last synced: 08 Jan 2025

https://github.com/raj-pulapakura/nn-from-scratch

Neural Network from Scratch using NumPy | MNIST Classification

deep-learning fromscratch machine-learning neural-network numpy

Last synced: 06 Jan 2025

https://github.com/harmanveer2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost

Last synced: 12 Jan 2025

https://github.com/hansalemaos/cythonflatiter

Locates values in NumPy Arrays with Cython

cython isin iter numpy

Last synced: 15 Feb 2025

https://github.com/ayoubelmortaji/analysis-and-detection-of-threats-in-cloud-environments-with-machine-learning

Developed a machine learning-driven threat detection model for cloud environments, utilizing Random Forest (RF) and Decision Tree (DT) algorithms. Focused on analyzing network activities and identifying suspicious behaviors through Security Information and Event Management (SIEM) systems. Enhanced cloud security by addressing key challenges in dete

cloud-computing machine-learning matplotlib numpy pandas python scikit-learn seaborn siem

Last synced: 01 Feb 2025

https://github.com/ashkarin/ndpatch

Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.

array data-structures deep-neural-networks image-processing numpy patches region-of-interest

Last synced: 31 Jan 2025

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 17 Feb 2025

https://github.com/ashar97/financial-engineering

Financial Engineering Practicum Assignments

financial-engineering matlab numpy pandas python r yahoo-finance

Last synced: 10 Jan 2025

https://github.com/xmcp/waver

Wave file generator

numpy tkinter wavefile waveform

Last synced: 10 Jan 2025

https://github.com/rakibhhridoy/imageprocessing

Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.

augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow

Last synced: 17 Feb 2025

NumPy Awesome Lists
awesome-jax 189 awesome-ebooks 106 awesome-mojo-max-mlir 181 awesome-numpy 32 awesome-jax 111 practice-numpy-programming-courses 35
NumPy Categories
Libraries 264 Blogs 132 Models and Projects 49 Summary 48 Videos 47 Machine Learning 42 Tutorials and Blog Posts 36 More Courses 32 Web 21 Programming Language 20 Scientific Computation 17 Performance Benchmark 16 Community 13 Data Structure and Algorithm 12 Other 11 Database 8 GPU Programming 8 Materials 7 Ecosystem 6 Artificial Intelligence 6