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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/amarlearning/simple-neural-network

Simple Neural Network written in Python and Numpy (w/o any scify libraries)

beginner-friendly machine-learning neural-network numpy python3 tutorial

Last synced: 14 Nov 2024

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/nacheteam/the-whale-optimization-algorithm

Análisis y estudio de mejora sobre el algoritmo "The Whale Optimization Algorithm"

cec metaheuristics minimization numpy optimization whale woa

Last synced: 14 Nov 2024

https://github.com/timudk/introduction_to_mcmc

A brief introduction to Markov chain Monte Carlo methods

markov-chain markov-chain-monte-carlo matlplotlib numpy python stochastic

Last synced: 05 Nov 2024

https://github.com/datarohit/clothes-size-prediction

This dataset has the age, weight, height, etc about people and the size of clothes that they wear. This dataset has a lot of outliers in it thus reducing the accuracy of the model.

classification machine-learning matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 05 Nov 2024

https://github.com/celilselcuk/skin-cancer-detector

A CNN model to distinguish whether a skin lesion is malignant or benign: cancerous or not. Trained on 1500 images for both benign and malignant classes attained from the ISIC skin condition dataset with over 84% accuracy and 93 F1 score.

benign-skin-lesions cancer-detection cnn-keras cnn-model flask image-classification malignant-skin-lesions medicalimaging numpy python tensorflow webapp

Last synced: 05 Nov 2024

https://github.com/udityamerit/python-librearies-for-data-science

Python libraries for data science enable efficient data manipulation, analysis, and modeling. Key libraries include NumPy for numerical computing, pandas for data handling, Matplotlib for visualization, Scikit-learn for machine learning, TensorFlow for deep learning, and BeautifulSoup/requests for web scraping. These libraries simplify complex data

beautifulsoup data data-science data-science-libraries machine-learning matplotlib numpy pandas requests scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 08 Nov 2024

https://github.com/wpi-surfmet-lab/multiscale-statistical-analysis

Multiscale regression/discrimination analysis software, which uses multiscale area data exported from MountainsMap®.

matplotlib multiscale-analysis numpy python scipy win wpi wxpython

Last synced: 31 Oct 2024

https://github.com/rudreshveerkhare/numras

Artificial Neural Network Implementation like Keras From Scratch using Numpy

deep-learning keras-neural-networks neural-network numpy optimization-algorithms

Last synced: 16 Nov 2024

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: 13 Nov 2024

https://github.com/soheshdoshi/forcastmodel

This Model is Base On Halt & Winter Algorithm.This Model is Forecast About Seasonal Data.

forcasting machine-learning numpy python

Last synced: 10 Nov 2024

https://github.com/xpcosmos/classificao-multilabel

Nesse projeto utilizei as bibliotecas e ferramentas mais populares para resolução de um problema de identificação de tags em discursões do StackOverFlow. Através de técnicas de NLP, os dados textuais foram transformados e realizada a aplicação dos algoritmos de classificação de múltiplas labels.

labels matplotlib multilabel-classification numpy pandas python seaborn sklearn

Last synced: 14 Nov 2024

https://github.com/yashika-malhotra/cardioflex-treadmill-analysis-using-descriptive-statistics-probability

Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.

colab-notebook data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 14 Nov 2024

https://github.com/msjahid/machine-learning-projects

A collection of machine learning projects featuring models and algorithms for supervised and unsupervised learning, model evaluation, and optimization.

jupyter matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Oct 2024

https://github.com/inspiaaa/2d-dft-visualisation

An interactive app that visualises how a 2D discrete Fourier Transform (DFT) works

2d dft discrete-fourier-transform fft image-processing matplotlib numpy python

Last synced: 13 Nov 2024

https://github.com/yashika-malhotra/data-exploration-and-visualization-for-streaming-platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

colab-notebook data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 14 Nov 2024

https://github.com/muhammedbuyukkinaci/tensorflow-text-generator

TensorFlow Text Generation using LSTM's.

lstm numpy tensorflow text-generation

Last synced: 30 Oct 2024

https://github.com/datarohit/python-for-finance

These Files are from Derek Banas Youtube Tutorial on Python for Finance used by me for Learning Purpose. These Include Stock Price Analysis, Portfolio Creation, Forecasting and Many more.

arima-forecasting arima-model finance-analytics matplotlib numpy pandas plotly python seaborn

Last synced: 05 Nov 2024

https://github.com/balavenkatesh3322/face_recognition

We can train our face and verify our face using openCV.

face-recognition knn-classification numpy opencv python3 webcam

Last synced: 10 Nov 2024

https://github.com/datarohit/walk-or-run-image-classification

This is Deep Learning project made using InveptionV3 model and Images taken from Kaggle to predict if the person in Image is Walking or Running.

cnn-classification inceptionv3 keras keras-tensorflow matplotlib numpy tensorflow

Last synced: 05 Nov 2024

https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data

About the data: Let’s consider a Company dataset with around 10 variables and 400 records.

data-science machine-learning numpy pandas python random-forest seaborn-plots

Last synced: 14 Nov 2024

https://github.com/ayushmankumar7/pyopencl-windows

Install PyOpenCL for Windows 😉

numpy opencl pyopencl python python3 windows windows-10

Last synced: 14 Oct 2024

https://github.com/hamdivazim/examresultsjupyter

A project I made back in 2021! Plots graphs using csv data.

graphing ipython-notebook jupyter-notebook matplotlib matplotlib-pyplot numpy pandas seaborn table

Last synced: 13 Nov 2024

https://github.com/gandhasiri-rahul-mohan/random-forests-q1-fraud_check

Use Random Forest to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"

data-science machine-learning numpy pandas python random-forest

Last synced: 14 Nov 2024

https://github.com/sbozzolo/open-source-tools-for-physics

Material from the seminar cycle "Open Source: Tools for Physics" held in AUTH (Thessaloniki) in May 2017

bash beamer emacs git github latex linux matplotlib numpy python python3 scipy seminar

Last synced: 23 Oct 2024

https://github.com/pferreirafabricio/graphic-computing

🖼️ Studies and activities of the discipline of Graphic Computing

graphic-computing numpy opencv python

Last synced: 14 Nov 2024

https://github.com/soumyapro/solar-cells-output-prediction

Solar Power forecasting for a Solar Power System is a very active research field, as reliable information about the future power generation allow for a safe operation of the power grid and helps to minimize the operational costs. Deep Learning algorithms have shown to be very powerful in forecasting tasks, such as economic time series or speech recognition. Up to now, Deep Learning algorithms have only been applied sparsely for forecasting renewable energy power plants. By using different Deep Learning Algorithms, such as RNN,LSTM with different Feature extraction method like PCA,1D CNN , Auto encoders , My motive is to show the forecast strength of these algorithms compared to a standard MLP and traditional machine learning model in forecasting the energy output of 21 solar power plants.

lstm-neural-networks matplotlib-pyplot mlp numpy pandas

Last synced: 12 Nov 2024

https://github.com/tansudasli/python-sandbox

Python sandbox w/ core capabilities and pandas, numpy, scipy, matplotlib, BeautifulSoup4 and ml models

beatifulsoup matplotlib numpy pandas python scipy

Last synced: 12 Nov 2024

https://github.com/daniel-furman/lwmcmc

MCMC parameter space sampling via Metropolis-Hastings

bayesian-inference mcmc metropolis-hastings-algorithm numpy parameter-space-sampling

Last synced: 11 Nov 2024

https://github.com/numpy/user-survey-2020-details

Analysis and publication of NumPy community survey results

community development numpy survey

Last synced: 07 Oct 2024

https://github.com/michedev/tensorguard

TensorGuard helps to guard against bad Tensor shapes in any tensor based library

deep-learning numpy pytorch tensorflow

Last synced: 03 Nov 2024

https://github.com/omkarpattnaik8080/employeeretentionprediction

"This machine learning project predicts employee retention, employing Python and scikit-learn. Utilize AWS for model deployment, ensuring scalability and reliability. Explore predictive analytics to identify factors influencing employee turnover, facilitating proactive retention strategies for organizational stability and growth."

aws data-science machine-learning matplotlib numpy pandas seaborn

Last synced: 14 Nov 2024

https://github.com/omkarpattnaik8080/diabetiespredictionsystem

"This machine learning project predicts diabetes risk, utilizing Python and scikit-learn. Employ AWS for model deployment, ensuring scalability and reliability. Explore predictive analytics to identify factors influencing diabetes onset, enabling proactive healthcare interventions for improved patient outcomes and disease management."

aws machine-learning matplotlib numpy pandas python

Last synced: 14 Nov 2024

https://github.com/yogeshselvarajan/rent-prediction-of-house

We will build a model to estimate the rent by explaining the most influential boroughs of Paris the French capital. The used method is the Multiple Linear Regression .

linear-regression machine-learning multiple-linear-regression numpy pandas prediction price sklearn

Last synced: 12 Nov 2024

https://github.com/konjkov/pycasino

Python realisation of Casino (QMC) program

mpi4py numba numpy python3 quantum-chemistry quantum-monte-carlo scipy

Last synced: 13 Oct 2024

https://github.com/diusmontenegro/python3-miniprojects

This my mini-projects that you may be interested in doing too... Enjoy!!

langdetect machine-learning matplotlib numpy opencv python3 tabula tkinter-gui torch

Last synced: 12 Nov 2024

https://github.com/tylerdougan/waltlabtools

A collection of tools for biomedical research assay analysis in Python.

assay biomedical-data-science calibration-curve concentrations curve-fitting diagnostics elisa modeling numpy python

Last synced: 14 Oct 2024

https://github.com/bucknalla/ofdm_verilog

Example of OFDM in Python and Verilog

commpy numpy ofdm radio

Last synced: 11 Nov 2024

https://github.com/shreyansh055/dynamic_pricing_strategy_055

Dynamic Pricing Strategy Project: This project utilizes machine learning algorithms in Python to optimize ride-sharing prices through real-time demand and supply analysis. By leveraging historical Uber data, it dynamically adjusts prices to maximize revenue and improve customer satisfaction.

machine-learning numpy pandas python scikit-learn

Last synced: 14 Nov 2024

https://github.com/summitkwan/dynamicnn

neural network with dynamics

dbm hopfield-network numpy rbm tensorflow

Last synced: 29 Oct 2024

https://github.com/vlouf/phasespace

Histogram in a phase-space

histogram numpy phasespace

Last synced: 11 Nov 2024

https://github.com/ranjan2104/multi-face-recognition-based-detect-system

Face Recognition System Uses for multi Face Detection. It is a Real time Detection System that can be Easily Port on any Hardware Devices due to its written in python. The Model First Train the Faces and after that Predict the output with more than 85%+ confidence due to its model classifier training with good algorithms so that predict with more accuracy by the help of OpenCV Module Haarcascade classifier and using numpy and pandas to fiIt is a Multi nd an pixel array of images and put operations over there.

datetime numpy opencv-contrib-python pandas pillow pytest-shutil python-csv time tk-tools

Last synced: 11 Nov 2024

https://github.com/ranjan2104/diabetes-prediction-application

It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.

flask gunicorn itsdangerous jinja2 markupsafe matplotlib numpy pandas scikit-learn scipy werkzeug

Last synced: 11 Nov 2024

https://github.com/ehtisham-sadiq/ai-pioneers-datascience-arena

This repository is dedicated to the AI Amigos team's participation in the Artificial Intelligence (AI) competition with a focus on Data Science.

artificial-intelligence competition data-analysis data-science data-visualization machine-learning model-building model-evaluation numpy pandas python3 supervised-learning unsupervised-learning

Last synced: 12 Nov 2024

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: 09 Nov 2024

https://github.com/ranjan2104/automobil-prediction-application

This Model is Built using Machine Learning Algorithm i.e Linear Regression and Sklearn so training and testing of data and uses Flask as in Backend and HTML, CSS and JS as in Frontend and the pickle module is used for make a .pkl file such that the data can be fetched using flask is possible and make the prediction of 88%+.

bootstrap4 css flask html js linear-regression numpy pandas pickle sklearn

Last synced: 11 Nov 2024

https://github.com/yuanx749/complex_systems

A Python package for studying complex systems.

jupyter matplotlib networkx numpy pep8 project scipy streamlit

Last synced: 10 Nov 2024

https://github.com/lyqht/sg-bill-org-scraper

Web scraper to get Singapore Billing Organisations

jupyter-notebook numpy pandas python3 rpa scraping tagui

Last synced: 09 Nov 2024

https://github.com/engageintellect/bitcoin-price-predictor

This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.

bitcoin machine-learning matplotlib mplfinance numpy pandas python scikit-learn visualization yfinance

Last synced: 09 Oct 2024

https://github.com/stanczakdominik/schrodinger_1d

Schrodinger equation solver in 1D

matplotlib numpy pde schrodinger-equation

Last synced: 21 Oct 2024

https://github.com/joseabrantesjr/previsai

O PrevisAI é uma aplicação que utiliza tecnica avançada de deep-learning para prever os preços de fechamento de ações, ETFs, Fundos Imobiliários, Criptomoedas, etc.

acoes criptomoedas deep-learning etf fii keras mercado-financeiro numpy pandas previsao python scikit-learn tensorflow trade trading yfinance

Last synced: 31 Oct 2024

https://github.com/harveyrdonnelly/maclaurin-series-models

A library of interactive Maclaurin Series Mathematical Models written in Python, including trigonometric and exponential functions.

maclaurin-series mathematical-modelling mathematics mathematics-education matplotlib numpy python python3 seaborn

Last synced: 15 Oct 2024

https://github.com/ei-grad/bincount

No-copy parallelized bincount returning dict

bincount cython numpy python statistics

Last synced: 14 Nov 2024

https://github.com/iamncj/missing-kit

The missing tool kit for MVS researchers

cg colmap cv numpy open3d opencv sfm

Last synced: 07 Nov 2024

https://github.com/sun-data/colorsynth

A Python library for creating false-color images from Numpy arrays of spectral intensity

cie1931 color-theory false-color-image image-processing matplotlib numpy spectrogram spectroscopy

Last synced: 20 Oct 2024

https://github.com/messier16/m16_mlutils

Some stuff that is probably better implemented somewhere else but I'm still a newbie to find out where...

machine-learning numpy pandas python

Last synced: 28 Oct 2024

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: 14 Oct 2024

https://github.com/kinoute/l-layers-xor-neural-network

A L-Layers XOR Neural Network using only Python and Numpy that learns to predict the XOR logic gates.

arguments deep-learning neural-network numpy python python3 script xor xor-neural-network

Last synced: 09 Nov 2024

https://github.com/pjessesco/print2d

Replacement of `print()` for printing 2d array with readability including Torch and Numpy.

formatted-text numpy print python3 readability torch

Last synced: 15 Oct 2024

https://github.com/hrolive/python4hpc

Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.

cudf cython dask developer-tools high-performance-computing mpi4py numpy pandas python

Last synced: 09 Nov 2024

https://github.com/andresberejnoi/netbuilder

Create fully connected neural networks that can be trained in just a few lines of code

educational-project feedforward-neural-network machine-learning netbuilder neural-network neuralnetwork numpy python python3

Last synced: 13 Nov 2024

https://github.com/adtzlr/named-einsum

NumPy's Einsum, but with named subscripts.

einsum numpy python

Last synced: 13 Nov 2024

https://github.com/deep-diver/logistic-regression

simple neural network without hidden layer

logistic-regression neural-network numpy

Last synced: 23 Oct 2024

https://github.com/g0r0kh/clustering

k-means & hierarchical clustering

conda matplot numpy pandas scikit-learn scipy sklearn

Last synced: 14 Oct 2024

https://github.com/chrismaree/icao-weather-analysis-python

Repository for ELEN3007 - Probabilistic Systems Analysis Assignment assignment using Jupyter Notebooks and Numpy to preform calculations

jupyter-notebook numpy

Last synced: 16 Nov 2024

https://github.com/zqpei/pybind11_cpp_python

cpp call python, or python call cpp, hybrid programming using pybind11, with and without numpy

cpp cpp-call-python mat-numpy numpy opencv-numpy pybind11 python python-call-cpp

Last synced: 10 Nov 2024

https://github.com/sam120204/fin4all

Fin4All is an all-in-one investment assistant that democratizes access to real-time stock analysis, sentiment-driven insights, and personalized investment recommendations for investors of all experience levels.

agents django docker embeddings fingpt finhub fintech google-cloud langchain llm matplotlib mongodb numpy openai stock stock-market streamlit vader-sentiment-analysis yahoo-finance

Last synced: 27 Oct 2024

https://github.com/illagrenan/django-numpy-json-encoder

Django JSON encoder with numpy support

django json numpy python

Last synced: 07 Nov 2024

https://github.com/amankanojiya/rubic-cube-detector

Rubic Cube Detection Using OpenCV

argparse numpy opencv opencv-python os python3

Last synced: 12 Nov 2024

https://github.com/ganeshkbhat/numericalarrays

numericalarrays offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more like NumPy. The goal is to be as near as NumPy as possible

array array-prototype arrays javascript linear-algebra matrix numerical numericalarrays numjs numpy numpyjs python scientific-computing

Last synced: 15 Oct 2024

https://github.com/elggem/shapeset-generator

Generates varying shapes as training data for neural nets: ShapeSet.

data machine-learning numpy opencv python svg training

Last synced: 10 Nov 2024

https://github.com/lucasalegre/backpropagation

Implementation of a fully connected neural network from scratch using numpy.

classification machine-learning neural-network numpy

Last synced: 15 Oct 2024

https://github.com/nikoshet/amazon-customer-reviews-data-mining

Project for course 'Data Mining' for M.Sc. 'Data Science and Machine Learning' in NTUA

data-mining data-science keras-tensorflow numpy pandas python

Last synced: 09 Nov 2024

https://github.com/miteshputhran/analysis-using-python

Analysis using Natural Language Toolkit(NLTK), Numpy, Pandas and Matplotlib

analysis folder-structure json matplotlib nltk numpy pandas python zipf

Last synced: 15 Oct 2024

https://github.com/mycroftai/pyache

Python numpy caching library

caching library numpy

Last synced: 13 Nov 2024

https://github.com/miteshputhran/nyc-vehicle-collision-analysis

Used vehicle collision data from NYC Open Data to analyse various factors for collisions, identifying the vehicle type involved in the crashes and using weather dataset to identify how snowfall and precipitation had caused increase in collisons

collision csv folder-structure json matplotlib newyork numpy nyc pandas python vehicles

Last synced: 15 Oct 2024