joblib

There are 1 repository under joblib topic.

mars-project / mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
python numpy tensor pandas machine-learning scikit-learn tensorflow pytorch xgboost lightgbm ray statsmodels joblib dataframe dask
Language:Python 2749
dudley-fitzgerald / AutomatedWellLogCorrelation
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
python well-logs interpretation well-correlation cnn feature-vector automated-interpretation pytorch networkx sift joblib oil-wells oil-and-gas geology
Language:Python 151
SamarthGarge / 30-Days-Of-DataScience
📊 30 Days of Data Science is a daily challenge to guide you through Data Science essentials. From basics to advanced, this repo offers clear examples, practical exercises, and resources to help you master Data Science, one day at a time. Whether you're new or refining your skills, this challenge has something for you. Join the journey now! 🚀
data-science machine-learning python3 numpy pandas seaborn exploratory-data-analysis decision-trees k-means-clustering linear-regression logistic-regression hyperparameter-tuning natural-language-processing time-series-forecasting joblib pipeline scikit-learn pipelines
32
vlivashkin / GPUParallel
Joblib-like interface for parallel GPU computations (e.g. data preprocessing)
joblib gpu-computing multiprocessing data-processing pytorch data-preprocessing
Language:Python 31
esvs2202 / Concrete-Compressive-Strength-Prediction
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
python3 anaconda jupyter-notebook pycharm-ide pandas numpy matplotlib-pyplot seaborn machine-learning-algorithms data-visualization statsmodels scikit-learn xgboost-regression randomizedsearchcv joblib flask gunicorn-web-server heroku-deployment html5
Language:Jupyter Notebook 21
patelpurvip / Spotify-hitpredictor
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
machine-learning python scikitlearn-machine-learning flask heroku tableau spotipy spotify-api pandas dotenv random-forest-classifier neural-network svm-classifier logistic-regression minmaxscalar standardscaler numpy-library joblib
Language:Jupyter Notebook 14
Transformer-BERT-SMS-Spam-Detection
Tejas-TA / Transformer-BERT-SMS-Spam-Detection
Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
nlp-machine-learning natural-language-processing machine-learning matplotlib joblib flask-api lightgbm-classifier multinomial-naive-bayes scikitlearn-machine-learning stemming lemmatization bag-of-words tfidf-vectorizer spam-sms-detection huggingface-transformers bert-model tensorflow2 attention-is-all-you-need confusion-matrix roc-auc-curve
Language:Jupyter Notebook 9
lykmapipo / Python-Joblib-Cookbook
A step-by-step guide to master various aspects of Joblib for parallel computing in Python
cache distributed-computing joblib lykmapipo memoization multiprocessing parallel-computing python threading apache-spark dask loky
Language:Python 8
NLPOptimize / FormatFlex
🚀 A flexible Python library for easy handling and conversion of Hierarchical, Tabular, and Serialized data formats.
bson cbor cloudpickle csv dill excel feather hdf5 joblib json messagepack orc parquet pickle python toml ubjson xml yaml
Language:Python 8
mvgolom / hydra-head
A GitHub WebCrawler
python multithreading multiprocessing pathos joblib crawler github-api python-script
Language:Python 7
tvnisxq / Smoking-Status-Prediction-ML-Model
A machine learning project to predict smoking status (Smoker/Non-Smoker) using health and lifestyle data. It includes data preprocessing, model training, evaluation, visualizations, and FastAPI-based deployment, supporting CI/CD and multiple datasets for robustness.
fastapi dotenv joblib pandas pydantic python3 requests uvicorn xgboost sklearn
Language:Python 7
Polarimetry
cchandre / Polarimetry
PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples
matlab appdesigner polarimetry image-processing customtkinter numpy opencv-python python3 scipy material-design matplotlib openpyxl tkinter tksheet colorcet macos windows joblib matplotlib-pyplot scikit-image
Language:Python 6
iuliagroza / spoof.io
A Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading
algorithmic-trading anomaly-detection deep-reinforcement-learning fnn layering market-manipulation proximal-policy-optimization reinforcement-learning spoofing jest joblib pytorch react rolling-statistics typescript
Language:Python 6
karenwky / Predictive_Modeling_Hong_Kong_Horse_Racing
predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)
joblib knn-classifier lightgbm-models pandas predictive-modeling scikit-learn
Language:HTML 6
pavankethavath / Microsoft-Classifying-Cybersecurity-Incidents-with-ML
A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn
classificationreport correlation-analysis dataanalysis decision-tree-classifier exploratory-data-analysis feature-engineering feature-selection gradientboosting hyperparameter-tuning joblib lgbmclassifier logistic-regression machine-learning modelselection pandas randomforestclassifier randomsearchcv shap smote xgboost-classifier
Language:Jupyter Notebook 6
esharma3 / fish_weight_prediction_machine_learning
A Regression Model that predicts a fish's weight based on its specie, length, width & height.
linear-regression lasso-regression random-forest python3 matplotlib-pyplot scipy joblib black seaborn
Language:Jupyter Notebook 5
NHLOCAL / is-this-bible
An IA model that detects whether a given verse is from the Bible or not
ai bible bible-search hebrew hebrew-bible israel machine-learning tanach joblib sklearn
Language:Python 5
prabormukherjee / Antivirus
A basic malware detector using Machine Learning
joblib antivirus malware-detector pyfile pe-file hashlib ml
Language:Python 5
ReverendBayes / Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
churn-prediction classification customer-retention decision-trees ensemble-learning feature-engineering joblib logistic-regression machine-learning model-evaluation naive-bayes predictive-modeling python real-world-data reproducible-research scikit-learn stacked-ensemble stratified-sampling telecom xgboost
Language:Python 5
Abhay557 / ML-Based-NewsDetection
This project aims to detect and classify fake news using Natural Language Processing (NLP) and Machine Learning techniques. The model is trained to identify whether a news article is real or fake based on its content.
classification machine-learning ml nlp prediction python nltk skit-learn joblib pandas
Language:Python 4
KaggleComptetionTitanic
codeperfectplus / KaggleComptetionTitanic
:jack_o_lantern:Kaggle-Comptetion-Titanic-Dataset(Codeperfectplus):trophy:
kaggle-competition kaggle-dataset kaggle kaggle-titanic codeperfectplus python3 jupyter-notebook programming-language data-science pickle joblib classification-algorithm logistic-regression random-forest binary-classification
Language:Jupyter Notebook 4
etchsaleh / triviaBot
A bot designed to answer live trivia game questions.
python3 automator-workflow bot trivia-quiz-game question-answering joblib google-api
Language:Python 4
jasonkena / magicpickle
magic-wormholing pickled objects made simple
joblib magic-wormhole pickle
Language:Python 4
lykmapipo / NYC-TLC-Trip-Data
Python scripts to download, process, and analyze the New York City Taxi and Limousine Commission (TLC) Trip Record Data dataset
data data-engineering data-extraction data-transformation etl lykmapipo metadata nyc python geopandas pandas pyarrow s3 apache-arrow jupyterlab joblib fsspec apache-spark nyc-taxi-dataset
Language:Jupyter Notebook 4
ptyadana / ML-Music-Recommender
Machine Learning Project for recommendations of music genre based on age and gender
machine-learning machinelearning-python python3 pandas scikit-learn joblib jupyter-notebook graphviz graphviz-dot
Language:Jupyter Notebook 4
SandeshGhi / Real-Estate-Housing-Price-Predictor
RandomForest Regressor Model ML for predicting Price of House.
python machine-learning jupyter-notebook regression-algorithms randomforestregressor deep-learning joblib hacktoberfest
Language:Jupyter Notebook 4
NLP-Email-Categorizer
VoxDroid / NLP-Email-Categorizer
An efficient text classification pipeline for email subjects, leveraging NLP techniques and Multinomial Naive Bayes. Easily preprocess data, train the model, and categorize new email subjects. Ideal for NLP enthusiasts and those building practical email categorization systems using Python.
categorization classification email email-classification jupyter-notebook multinomial-naive-bayes naive-bayes nlp nlp-machine-learning nltk nltk-python pipeline python text-classification joblib matplotlib numpy scikit-learn scikitlearn-machine-learning seaborn
Language:Python 4
34j / cached-historical-data-fetcher
Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.
cache historical-data aiohttp joblib lz4 pandas python fetch scraper scraping web-scraping asyncio realtime update pagenation http tqdm hacktoberfest
Language:Python 3
Q-NIM-ai-learns-to-play-Nim-using-standard-and-deep-Q-Learning
EliaFantini / Q-NIM-ai-learns-to-play-Nim-using-standard-and-deep-Q-Learning
Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.
artificial-neural-networks python pytorch artificial-intelligence deep-q-learning intelligent-agent joblib multiprocessing neural-network nim plotly q-learning reinforcement-learning self-learning matplotlib pandas dqn dqn-agents dqn-pytorch
Language:Jupyter Notebook 3
greed2411 / ASF
Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.
spam scikit-learn spam-filter asf vit-university dataset maintenance algorithm passes-complaints joblib
Language:Jupyter Notebook 3
Keshav25-2002 / Bigmart-Sales-Prediction-Ineuron-Internship-
Primary aim of this project is to build machine learning model that give the should able to predict the sales of the different stores of Big Mart according to the provided dataset.
machine-learning salesforecast heroku-deployment joblib flask-application
Language:Jupyter Notebook 3
lykmapipo / US-Gas-Prices
Python scripts that scrape US gas prices
gas lykmapipo prices python selenium selenium-python webdriver-manager webscraper webscraping aaa us metro state data-extraction data-preprocessing data-transformation pandas joblib ci-cd github-actions
Language:Python 3
MoigeMatino / stock-sage
StockSage is a production-ready RESTful API built with FastAPI and Docker to serve machine learning models. It allows users to send stock data and receive price predictions using the Prophet model. Designed for scalability, it follows best practices in API deployment, containerization, and production model serving.
docker docker-compose joblib machine-learning prophet rest-api fastapi pydantic
Language:Python 3
Owadd / Credit-Risk-Assessment
This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.
artificial-intelligence credit joblib loan loan-default-prediction machine-learning pandas risk risk-management scikit-learn xgboost-classifier
Language:Python 3
varmatilak22 / Credit_Score_Prediction
Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr
feature-selection mutual-information numpy pandas python sqlite3 classification-report dimensionality-reduction imblearn joblib pca pipeline random-search-optimization roc-auc-curve streamlit xgboost-classifier
Language:HTML 3
miles-spidee / exoml
An AI tool that predicts potential exoplanets using NASA's Kepler data. Users can enter a celestial object's transit data into a web app and get an instant prediction, helping to distinguish between potential exoplanets and false positives.
fastapi joblib python reactjs scikit-learn uvicorn vite
Language:JavaScript 2

joblib

mars-project / mars

dudley-fitzgerald / AutomatedWellLogCorrelation

SamarthGarge / 30-Days-Of-DataScience

vlivashkin / GPUParallel

esvs2202 / Concrete-Compressive-Strength-Prediction

patelpurvip / Spotify-hitpredictor

Tejas-TA / Transformer-BERT-SMS-Spam-Detection

lykmapipo / Python-Joblib-Cookbook

NLPOptimize / FormatFlex

mvgolom / hydra-head

tvnisxq / Smoking-Status-Prediction-ML-Model

cchandre / Polarimetry

iuliagroza / spoof.io

karenwky / Predictive_Modeling_Hong_Kong_Horse_Racing

pavankethavath / Microsoft-Classifying-Cybersecurity-Incidents-with-ML

esharma3 / fish_weight_prediction_machine_learning

NHLOCAL / is-this-bible

prabormukherjee / Antivirus

ReverendBayes / Telecom-Churn-Predictor

Abhay557 / ML-Based-NewsDetection

codeperfectplus / KaggleComptetionTitanic

etchsaleh / triviaBot

jasonkena / magicpickle

lykmapipo / NYC-TLC-Trip-Data

ptyadana / ML-Music-Recommender

SandeshGhi / Real-Estate-Housing-Price-Predictor

VoxDroid / NLP-Email-Categorizer

34j / cached-historical-data-fetcher

EliaFantini / Q-NIM-ai-learns-to-play-Nim-using-standard-and-deep-Q-Learning

greed2411 / ASF

Keshav25-2002 / Bigmart-Sales-Prediction-Ineuron-Internship-

lykmapipo / US-Gas-Prices

MoigeMatino / stock-sage

Owadd / Credit-Risk-Assessment

varmatilak22 / Credit_Score_Prediction

miles-spidee / exoml