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/bhattbhavesh91/tf-numpy-example

Faster NumPy using Tensorflow's tf.experimental.numpy module

keras numpy tensorflow

Last synced: 01 May 2026

https://github.com/sehgalnaval/olympics-data-analysis

I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.

heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn

Last synced: 11 Apr 2026

https://github.com/christophercrouzet/nani

Alternative approach to defining and viewing NumPy's arrays.

dtype nani numpy view wrap

Last synced: 14 Apr 2026

https://github.com/matx64/rs-netbot

Old School Runescape bot with CNN for object identification

cuda numpy python pytorch

Last synced: 04 May 2026

https://github.com/valmir-unicap/rastreamento-de-gestos-para-controle-video

Projeto final da disciplina de visão computacional

ctypes mediapipe numpy opencv python vlc

Last synced: 13 Apr 2026

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: 31 Mar 2025

https://github.com/sarincr/introduction-to-pyqt5

PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.

app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python

Last synced: 13 Apr 2026

https://github.com/asanka-j/machine_learning_exercises

Machine learning Self study Python & R

matplotlib numpy pandas python r sklearn

Last synced: 12 Apr 2026

https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package

A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy

customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy

Last synced: 09 Jul 2025

https://github.com/paulo-santos-ds/dados-telefonia

Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.

matplotlib numpy pandas python3 sklearn

Last synced: 12 Apr 2026

https://github.com/aymen016/data-visualization

A collection of data analysis projects using Python, covering various datasets and domains. Includes EDA, preprocessing, data visualization (Matplotlib/Seaborn), and Power BI dashboards.

dashboard eda jupyter-notebook matplotlib-pyplot matplotlib-python numpy pandas pandas-dataframe powerbi python seaborn seaborn-python visualization

Last synced: 15 Jun 2026

https://github.com/403errors/offset-to-hydrostatic-curve

Group project for making hydrostatic curves from the given ship offset table using python libraries

data-visualization matplotlib-pyplot numpy python3 sklearn

Last synced: 10 May 2026

https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe

A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.

mediapipe numpy opencv os python python3 time

Last synced: 12 Apr 2026

https://github.com/otaboyevsardorbek1/math_web

MATEMATIK FUNQSIYLARNING O`ZARO YAQINLASHISHNI TESHKIRISh

css fast-work flask js numpy python web3

Last synced: 12 Apr 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/pandeyankit123/books-recommender-system-using-machine-learning

This is a streamlit web application that can recommend various kinds of similar books based on an user interest.

jupyter-notebook machine-learning numpy pandas pickle python streamlit

Last synced: 12 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/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/shreeyas-48/creditcardfrauddetection

Project for detecting credit card frauds using neural networks and logistic regression

autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem

🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!

data-science jupyter keras notebooks numpy pandas python pytorch

Last synced: 12 Jun 2025

https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations

This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.

dataanalysisusingsql datavisualization matplotlib-pyplot mysql mysql-database mysqlconnector numpy pandas python salesanalysis seaborn sql

Last synced: 07 Jan 2026

https://github.com/linggarm/smart-caloriemax

A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.

artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python

Last synced: 12 Apr 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/anish202020/weather_prediction_model_21int68_internship

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/gracysapra/pandas-numpy-data-visualisation

This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.

data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn

Last synced: 07 May 2026

https://github.com/kavayk29/quora-duplicate-question-pair

This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.

beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost

Last synced: 21 Jan 2026

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 09 Apr 2026

https://github.com/pranav-bot/ml-dl-models-from-scratch

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm

Last synced: 15 Apr 2026

https://github.com/zainashrafofficial/ml_project_2024

A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.

ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow

Last synced: 13 Apr 2026

https://github.com/nazli-d/binary-classification-using-cnn

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow

Last synced: 13 Apr 2026

https://github.com/nemeslaszlo/dog_breed_identification

Dog breed identification model to identify and label 120 different dog breeds.

matplotlib numpy pandas tensorflow tensorflow-hub

Last synced: 13 Apr 2026

https://github.com/gitfrandu4/40982-p1

Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.

computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture

Last synced: 09 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/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: 13 Apr 2026

https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization

Last synced: 13 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/jaypanchal9/spotless-data

Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.

data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/gauranshgoel123/predictive-demand-analysis

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

chartjs data-analysis data-science data-visualization dataset deployment full-stack machine-learning numpy pandas predictive-analysis prophet-model python reactjs render

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/supply-chain

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis

Last synced: 10 Apr 2026

https://github.com/otuemre/simplenet

A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.

backpropagation deep-learning from-scratch machine-learning neural-network numpy python

Last synced: 13 Apr 2026

https://github.com/otivedani/hedge_hog

Histogram of Oriented Gradients, full numpy

feature-extraction histogram-of-oriented-gradients hog-features numpy

Last synced: 13 Apr 2026

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: 05 Jul 2025

https://github.com/pvlbzn/kot-or-not

Logistic regression (shallow neural network) which predicts whether input image is a cat or not.

classification-algorithm image-classification logistic-regression machine-learning neural-network numpy

Last synced: 01 Mar 2025

https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/vitroid/tilecycles

Tessellate a graph into cycles.

genice2 graph numpy tiling

Last synced: 27 Feb 2025

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 13 Apr 2026

https://github.com/muhammad-fiaz/gpt

A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.

attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking

Realtime car traffic tracking using yolov8 model

cartracking numpy opencv python ultralytics yolov8 yolov8n

Last synced: 28 Apr 2025

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/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/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/itancio/realestateprice

This is an application of deep learning to train and predict real estate price dataset in King County, USA.

datat-visualization machine-learning numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/imswappy/brain-tumor-detection

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.

kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model

Last synced: 13 Apr 2026

https://github.com/quentinwidlocher/cours-python-pandas

Jupyter Lab sur le traitement des données en python

jupyter-lab matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/Krisseck/hki-traffic-predict

Keras neural network to predict traffic in Helsinki

avoindata helsinki keras numpy open-data python traffic

Last synced: 13 Jul 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/21aja/house_price_prediction_revised_project

House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.

decision-tree-classifier linear-regression numpy pandas xgboost

Last synced: 13 Apr 2026

https://github.com/chaymabghozzi/somnolence

Détection de somnolence

dlib numpy opencv pygame python

Last synced: 13 Apr 2026

https://github.com/mansurpro/digitrecognizer

DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.

backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python

Last synced: 16 May 2026

https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.

algebra combinatorics matplotlib numpy python scipy

Last synced: 13 Apr 2026

https://github.com/neerajcodes888/diwali-sales-analysis

An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.

data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots

Last synced: 26 Mar 2025

https://github.com/avs123a/image-color-spaces-morphology-demo

Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image

demo image-processing jupyter-notebook numpy opencv python3

Last synced: 05 May 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 2026

https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india

This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.

matplotlib numpy pandas powerbi python seborn

Last synced: 04 May 2026

https://github.com/imaginesamurai/advanced-vision-system

A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.

camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video

Last synced: 16 Apr 2026

https://github.com/abhinavsharma07/neural-network-using_numpy

Introduction to Neural Networks (Create a neural network using Numpy)

accuracy feed-forward model neural-networks numpy prediction

Last synced: 18 Jan 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 20 Apr 2026

https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models

Last synced: 18 Feb 2026

https://github.com/jabhij/eda_experiments

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis

Last synced: 14 Apr 2026

https://github.com/peterfication/num-peek

A CLI tool to peek into *.npy files

cli numpy python rust

Last synced: 20 Jan 2026

https://github.com/parneet-sandhu/virtual-try-on

This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.

computer-vision mediapipe numpy opencv python tkinter

Last synced: 19 Jan 2026

https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau

nba numpy pandas python tableau

Last synced: 14 Apr 2026

https://github.com/dimatura/imgutils

Miscellaneous Numpy and PIL utilities for images.

image numpy pil pillow python

Last synced: 19 Jan 2026

https://github.com/cyberoctane29/unicorn-companies-analysis

This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.

data-analysis eda numpy pandas python

Last synced: 02 May 2026

https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework

Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)

gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance

Last synced: 14 Apr 2026

https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course

Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠

convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow

Last synced: 10 Apr 2026