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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/jacobpclouse/526-hw-3-sss
ICSI 526 Homework 3 - Spring 2023 - Shamir Secret Sharing
encryption-decryption lagrange-polynomial-interpolation numpy opencv pil python3 shamir-s-secret-sharing-scheme shamir-secret-sharing shamirs-secret-sharing
Last synced: 05 May 2026
https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
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https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
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https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
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https://github.com/kbunwong/stock-price-prediction-using-lstm
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
Last synced: 05 May 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
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This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.
gudhi jupyter-notebook matplotlib numpy opencv python tomography
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HW of EN.650.672
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https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
https://github.com/mohitsai/boston-housing-data-analysis
Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city
data-analysis data-science matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
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https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
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https://github.com/muthupillai1204/diwali_sales_analysis
The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
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https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
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A fraud detection system with machine learning will be able to detect risk based on your historical data
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https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
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https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
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https://github.com/ianjure/simple-neural-network
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deep-learning neural-network notebook numpy scratch-implementation
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beautifulsoup numpy pandas python webscraping
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https://github.com/skorupcia/winequality-white
winequality-white.csv visualization
matplotlib numpy pandas seaborn sklearn
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https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
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https://github.com/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
Last synced: 06 May 2026
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/fazal-coder/capturing_img
python code for Creating blue color image
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Last synced: 06 May 2026
https://github.com/naveen88112/genetic_algos_maze_solver
Genetic Algorithm Maze Solver This project utilizes a Genetic Algorithm (GA) to solve the optimization of a maze problem. It evolves the population of promising solutions to the best solution finding shortest path between start and end point using selection, crossover, and mutation.
deap-library genetic-algorithms matplotlib maze-solver numpy python
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Create a collage from images with OpenCV
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web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation
beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter
Last synced: 06 May 2026
https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
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EDA analysis on apple products.
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AI Heuristics in Python for solving the 2048 Game
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https://github.com/voorhs/ml-practice
ML algorithms implementation
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https://github.com/dakshdeephere/bank_eda-practice
EDA analysis of Bank.csv dataset
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https://github.com/suhas-005/jovian-data-analysis-course-assignment
These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai
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Last synced: 07 May 2026
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Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
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Play Fruit Ninja using just your index finger with real time gesture tracking. No mouse, no keyboard — just your webcam and smooth slicing.
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Last synced: 07 May 2026
https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
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this is inClass practice application for Python-for-Data-Science-AI
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https://github.com/maxencebonamy/ascii-webcam
You can see yourself in real time through characters in a terminal. This project is an enhancement of another project which consists in converting an image to ASCII format, which allows, in a way, to compress it.
ascii numpy opencv python webcam
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https://github.com/jnayak1/naive_bayes_cars
Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price
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https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
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https://github.com/ragnarok540/sympy-tutorial
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https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
aes-encryption asymmetric-cryptography encryption-decryption extension-fields finite-fields galois-fields numpy prime-fields python symmetric-cryptography
Last synced: 08 May 2026
https://github.com/tinaland101/carcinoma-regression-project
The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.
linear-regression mathplotlib numpy pandas pyhton
Last synced: 08 May 2026
https://github.com/rsc-88/titanic
Data Science
jupyter-notebook numpy pandas python
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https://github.com/momo790-m/startup-profit-prediction
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assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn
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https://github.com/afnanelhussini/biometrics
LABS for Biometrics Course
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https://github.com/zuecopio/vco_2425
Computer Vision (VCO) subject practices
cv2 matplotlib numpy opencv pilllow
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https://github.com/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
Last synced: 08 May 2026
https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
artificial-intelligence deep-learning jupyter-notebook machine-learning natural-language-processing numpy personal transformer
Last synced: 08 May 2026
https://github.com/egrizq/bike_analysis
Exploring the bike sharing system to find the patterns behind user behavior by weather, season, hour, and months.
data-science matplot numpy python seaborn
Last synced: 08 May 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/sunnyrao07/water-quality-analysis
A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.
data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost
Last synced: 08 May 2026
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
https://github.com/chdl17/credit-eda-casestudy
Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.
exploratory-data-analysis numpy pandas
Last synced: 08 May 2026
https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/aymen016/leetcode-problems
This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯
coding decision-making leetcode-python leetcode-solutions numpy problem-solving python
Last synced: 09 May 2026
https://github.com/kemalcalak/developing-driverless-vehicles
This project includes the software required for an autonomous vehicle
numpy object-detection opencv segmentation yolo
Last synced: 09 May 2026
https://github.com/mahmood-anaam/deterministic-dynamic-programming
This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.
dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem
Last synced: 09 May 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
emotion-detection numpy opencv-python python pytorch
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https://github.com/starlitdreams/lunar-landing
This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.
artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch
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https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
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https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
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https://github.com/dulajkavinda/numpy-ml
🔢 Calculations with NumPy library.
calculations jupyter-notebook machine-learning matrices numpy numpy-arrays python
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https://github.com/betiniakarandut/portfolio-project
Sukkar and Cornell Integral Approach to Estimate Static Bottom Hole Pressure(SBHP)
Last synced: 09 May 2026
https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
Last synced: 10 May 2026
https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
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https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
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https://github.com/jjerphan/joml
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deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing
Last synced: 10 May 2026
https://github.com/mahmood-anaam/grid-world-value-iteration
An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.
dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm
Last synced: 10 May 2026
https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022
In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.
csv-files ipl kaggle-dataset matplotlib numpy pandas
Last synced: 10 May 2026
https://github.com/sahil210695/convolution-evolution
This is to see how a kernel will convolve over an image and what will be its output after convolution
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Last synced: 10 May 2026
https://github.com/saagnik-mondal/chessengine
This is a simple and efficient chess engine implemented entirely in Python. It allows users to play chess against the computer, using an AI based on a Minimax algorithm with Alpha-Beta pruning for decision-making. The engine is designed to be easy to understand, extend, and play against the computer.
Last synced: 10 May 2026
https://github.com/relostar-devil/census-income-prediction
An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.
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Last synced: 10 May 2026
https://github.com/monarch1108/customerinsights-kmeans
understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
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Last synced: 11 May 2026
https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
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https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
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Last synced: 13 May 2026
https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
Last synced: 13 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
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https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
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Last synced: 14 May 2026
https://github.com/tomdewildt/interactive-and-explainable-ai-design
Code for The Interactive And Explainable AI Design course of my master's degree
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Last synced: 18 Jun 2026
https://github.com/takana671/fluidcube
Particle Movement Using Curl Noise
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Last synced: 22 Jun 2026
https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
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Last synced: 23 Jun 2026