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

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/assamirzafar/learning

My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.

calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics

Last synced: 05 Apr 2026

https://github.com/h3ar7b3a7/exploringjupyterlab

This is just an exploration in using Jupyter Lab, Notebook and some useful Python libraries. Some basic commands, markups and extensions setup are documented here too.

bokeh extensions jupyterlab matplotlib notebook-jupyter numpy pandas

Last synced: 04 May 2026

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: 04 May 2026

https://github.com/harmanveer-2546/predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

ann autoencoder churn-prediction customer-churn-prediction encoding mlp model-building-and-evaluation numpy os pandas standardization

Last synced: 04 May 2026

https://github.com/himel-sarder/complete-numpy

A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.

data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires

Last synced: 04 May 2026

https://github.com/dipeshgoyal013/ipl_win_probability

A project which help you to check win probability of batting team in inning 2nd

machine-learning matplotlib numpy pandas python sklearn

Last synced: 05 Feb 2026

https://github.com/kostrykin/blas-benchmark

A benchmark comparison of different BLAS backends for NumPy.

benchmark blas cvxpy mkl numpy openblas python

Last synced: 04 May 2026

https://github.com/kavithma-thushal/machine-learning-room-gdse66

Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.

docker flask jinja2 jupyter-notebook numpy pandas python

Last synced: 14 Apr 2026

https://github.com/sakshisrivastava-2601/credit-card-fraud-detection

Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.

advanced-machine data machine-learning numpy project-repository python pytorch random-forest

Last synced: 16 Apr 2026

https://github.com/md-emon-hasan/learnpython.org

A repository Python programming language, covering fundamental concepts, advanced topics, and practical applications for beginners.

exception-handling function generator lambda-functions numpy numpy-library python reduce

Last synced: 04 May 2026

https://github.com/vustron/car_price_predictor_backend

The backend server for the machine-learning model for prediction of car price

flask flask-api flask-backend flask-restful machine-learning numpy pandas python rest-api

Last synced: 15 Apr 2026

https://github.com/607011/1dollar

Simulation of a counterintuitive distribution problem

animation go golang matplotlib numpy plot python3 simulation statistics

Last synced: 09 May 2026

https://github.com/brpy/100-prisoners-problem

Simulation of 100 Prisoners Problem using Python

numpy python simulation veritasium

Last synced: 14 Apr 2026

https://github.com/vochicong/ai-memo

Notebooks about machine learning (AI) math and tools

azure-notebooks colaboratory machine-learning math numpy

Last synced: 24 Feb 2026

https://github.com/k-ibadullaev/py-ssa-lib

Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)

mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting

Last synced: 10 May 2026

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/quinta0/pycolors

A python program to help people with color blindness recognize color in an image

colorblindness colors image-processing numpy pandas-dataframe python tkinter-gui

Last synced: 05 May 2026

https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: 22 Apr 2025

https://github.com/flazefy2/ds-global_cybersecurity_threats

https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024

data-science data-visualization numpy python squarify statistics

Last synced: 05 May 2026

https://github.com/fearless-spider/stooq-dax-seasonal

Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.

numpy pandas python statistics

Last synced: 13 Apr 2026

https://github.com/winter000boy/my-project-portfolio

Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.

ai artificial-intelligence artificial-neural-networks bootstrap data-science deep-learning flask-application java-projects machine-learning numpy pandas-python potfolio-site python-projects python3 spring-boot tkinter-gui web-development

Last synced: 05 May 2026

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques

This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.

classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier

Last synced: 04 Apr 2026

https://github.com/anupam0202/contextual-rag-chatbot

Contextual RAG Chatbot that processes PDF documents using the Google Gemini API

google-generativeai numpy pypdf2 scikit-learn streamlit

Last synced: 05 May 2026

https://github.com/ngirimana/ml_knn

Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.

artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon

Last synced: 12 Apr 2026

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: 04 May 2026

https://github.com/bunu23/image-classification-resnet50-streamlit

This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.

cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow

Last synced: 07 Apr 2026

https://github.com/guidorice/hab-detection-wyvern-hsi

Harmful Algal Bloom (HAB) Detection from Wyvern hyperspectral imagery

gdal geopandas gis hyperspectral jupyter numpy python rasterio

Last synced: 05 May 2026

https://github.com/ahasannn/multilevel_textual_emotion_classifier

Emotion detection from social media texts using machine learning algorithms.

anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn

Last synced: 05 May 2026

https://github.com/mnitin-reddy/anomaly-detection-in-server-networks

This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies

anamoly data-science machine-learning matplotlib numpy pyhton seaborn

Last synced: 19 Apr 2026

https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects

This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.

matplotlib numpy pandas python seaborn statistics

Last synced: 05 May 2026

https://github.com/tritonix711/digitvision-number-predictor

"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.

cnn keras matplotlib numpy os pillow plt python tensorflow tkinter

Last synced: 05 May 2026

https://github.com/psp515/Studies-DifferentalEquations

Differental Equations course on AGH UST 22/23.

numerical-methods numpy python

Last synced: 18 Apr 2026

https://github.com/idow09/ud810-problem-sets

Solutions to the problem sets of Introduction to Computer Vision course at Udacity

computer-vision numpy opencv opencv-python problem-sets python solutions udacity

Last synced: 09 May 2026

https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest

This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.

decesion-trees matplotlib numpy pandas random-forest seaborn sklearn

Last synced: 17 Apr 2026

https://github.com/dudynets/numerical-methods-labs-tkinter

Labs for Numerical Methods course at Ivan Franko Lviv National University.

interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university

Last synced: 14 May 2026

https://github.com/kwanit1142/machine-learning-models-on-different-scenarios

Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.

deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/aymen016/emotion-recognition-using-face-detection

A deep learning-based project that detects human faces and predicts their emotions in real-time using OpenCV and a trained neural network model.

gpu-acceleration haar-cascade-classifier keras-tensorflow matplotlib numpy opencv python

Last synced: 13 Apr 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/alexcoder04/image-edit

A Python GUI for basic image editing, school project

fun gui image-editing image-processing numpy pil pyqt pyqt5 python python3 qt sideproject

Last synced: 09 May 2026

https://github.com/codehass/facial-emotional-detection

Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.

cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow

Last synced: 12 Apr 2026

https://github.com/aryansk/geometric-transformation-visualizer

A comprehensive toolkit for visualizing various geometric transformations on both 2D shapes and images using Python. This project demonstrates fundamental geometric operations through interactive visualizations.

computer-vision matplotlib numpy opencv python

Last synced: 05 May 2026

https://github.com/marksikaundi/30daysofdeeplearning

This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.

data-science nlp numpy python pytorch tensorflow

Last synced: 04 Apr 2026

https://github.com/arshitarora/image-overlaying-prespective

Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮

image numpy opencv python swap

Last synced: 09 May 2026

https://github.com/dantasl/probabilidade-analise

Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2

data-science numpy pandas probability

Last synced: 13 Apr 2026

https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn

Last synced: 23 Jul 2025

https://github.com/dan-shields/rocketleagueirl

Rocket League comes to Real Life!

arduino numpy opencv2 python robotics rocket-league

Last synced: 05 May 2026

https://github.com/mark0011astra/simplecuda

CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.

cuda cupy gpu machine-learning numpy python vector

Last synced: 02 May 2026

https://github.com/akash-rajak/large-image-preview

Python Script to view large image using scroll bars.

cv2 large-image large-image-preview numpy python3 tkinter

Last synced: 04 May 2026

https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors

This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.

algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/erickarpovits/carbon-metrics-model

Investigation Of Covid’s Impact On Carbon Emission Rates In the United States

deep-learning numpy pandas python

Last synced: 18 Apr 2026

https://github.com/anvesham/machinelearning_models_using_matlab

Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers

bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression

Last synced: 11 Apr 2026

https://github.com/epsoft/ner

NER

ner numpy pandas

Last synced: 04 May 2026

https://github.com/intscription/python-programs

Python basics-advance

numpy pandas scikit-learn

Last synced: 05 May 2026

https://github.com/haloapping/sharing-tipis-tipis

#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.

caring deep-learning machine-learning numpy pandas scikit sharing

Last synced: 09 May 2026

https://github.com/hanzopgp/neuralnetworkfromscratch

This is a multi-layer perceptron build from scratch using numpy and python.

artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal

Last synced: 17 Apr 2026

https://github.com/paulo-santos-ds/analise_corrida_taxi

Este projeto tem como objetivo analisar os dados de um aplicativo fictício de caronas. Encontrar padrões nas informações disponíveis, entender as preferências dos passageiros e o impacto de fatores externos nas corridas.

math matplotlib numpy pandas python3 seaborn sql

Last synced: 09 May 2026

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: 12 Apr 2026

https://github.com/arufonsekun/computer-vision

This repository hosts the code produced in dojos, week tasks, theoretical presentations during my attending time in the UFFS computer vision study group. (refactor in progress)

computer-vision numpy opencv python3

Last synced: 17 Apr 2026

https://github.com/sarthak-1408/rain-fall-prediction

This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).

heroku heroku-deployment machine-learning numpy pandas rain-fall rain-fall-prediction scikit-learn xgboost-algorithm

Last synced: 05 May 2026

https://github.com/rubinlake/rl-academy-data-analytics

Educational data analysis project demonstrating BMW sales data analysis with AI-powered code assistance using Cursor IDE and Jupyter notebooks

cursor-ide data-analysis educational-project jupyter langchain matplotlib numpy pandas python scipy seaborn

Last synced: 09 May 2026

https://github.com/heshanera/paclassifier

Online Passive Aggressive Binary Classifier

binary-classifier numpy passive-aggressive python

Last synced: 06 May 2026

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: 13 Apr 2026

https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification

Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)

analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn

Last synced: 17 Apr 2026

https://github.com/ngirimana/decision-trees-and-random-forest-

For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).

artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn

Last synced: 11 Apr 2026

https://github.com/iv4n-ga6l/OpenPose-Prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 28 Apr 2025

https://github.com/lasithaamarasinghe/face-recognition

This project demonstrates a basic face recognition system using Python, OpenCV, and the face_recognition library.

cmake computer-vision dlib face-recognition numpy opencv python visualstudiocode

Last synced: 16 Apr 2026

https://github.com/nemeslaszlo/lending-club-analysis

Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.

binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow

Last synced: 12 Apr 2026

https://github.com/scarblase/homeless-animals-analysis

A data-driven exploration of homeless animal statistics 🐶🐱. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.

animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine

Last synced: 06 May 2026

https://github.com/ashishtukaral/sign-language-recognition-using-ai

A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.

ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow

Last synced: 04 Feb 2026

https://github.com/carmoreno/analisisaccidentalidadbogota

Data Analysis about traffic accidents at Bogotá, Colombia.

data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/ujstor/streamlit-working-hours

The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.

data-pipeline numpy pandas statistics streamlit

Last synced: 06 May 2026

https://github.com/zceemja/si-base

A basic python package that converts numerical strings with units to base units

conversion jax numpy python scientific scipy

Last synced: 12 Feb 2026

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 02 Apr 2026

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: 24 Feb 2026

https://github.com/uni-creator/handwritten_number_recognition_system

A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.

computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch

Last synced: 17 Apr 2026

https://github.com/iv4n-ga6l/openpose-prediction

Person's body parts or joint position detection using openCV

detection numpy opencv prediction prediction-model python

Last synced: 17 Apr 2026

https://github.com/fsubject/rotating-cube

Rotating Cube is a 3D engine made from scratch

3d 3d-engine 3d-graphics from-scratch numpy pygame python

Last synced: 31 Jan 2026

https://github.com/mmsaki/whale_portfolio

Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.

datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies

Last synced: 06 May 2026

https://github.com/kirkalyn13/opensignal_autogenerate_report

Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,

data-analysis data-science data-visualization matplotlib numpy pandas python

Last synced: 06 May 2026