Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2024-11-08 00:26:25 UTC
- JSON Representation
https://github.com/eswar3/Zillow-prediction-models
Machine Learning Project using Kaggle dataset
eda machine-learning numpy parameter-tuning scikit-learn scikitlearn-machine-learning xgboost-algorithm
Last synced: 27 Oct 2024
https://github.com/pateash/kisanmitra
Crop Yield Prediction Web App Built using Sklearn and Laravel Web Framework
crop-yeild-prediction farmers laravel machinelearning scikit-learn
Last synced: 13 Oct 2024
https://github.com/scikit-multilearn-ng/scikit-multilearn-ng
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification
classification clustering label-prediction machine-learning multi-label multi-label-classification partitioning scikit scikit-learn scikit-multilearn
Last synced: 13 Oct 2024
https://github.com/mdh266/NYCBuildingEnergyUse
Creating Regression Models Of Building Emissions On Google Cloud
bokeh data-science energy-efficiency exploratory-data-analysis google-app-engine missing-data missing-values outlier-detection outlier-removal regression regression-models scikit-learn xgboost
Last synced: 03 Aug 2024
https://github.com/sayakpaul/phishing-websites-detection
Experiments to detect phishing websites using neural networks
cybersecurity keras-tensorflow machine-learning neural-network phishing-attacks scikit-learn
Last synced: 23 Oct 2024
https://github.com/dunnkers/fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb
Last synced: 07 Nov 2024
https://github.com/curiousily/Reproducible-ML-with-DVC
Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC
deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking
Last synced: 13 Aug 2024
https://github.com/cblearn/cblearn
Comparison-based Machine Learning in Python
embedding machine-learning machinelearning multidimensional multidimensional-scaling non-metric ordinal scaling scikit-learn
Last synced: 07 Nov 2024
https://github.com/fbruzzesi/sklearn-smithy
Toolkit to forge scikit-learn compatible estimators
cli data-science machine-learning python scikit-learn webui
Last synced: 10 Oct 2024
https://github.com/lucastsutsui/embml
A tool to support using classification models in low-power and microcontroller-based embedded systems.
classification-model classification-models classifier edge-computing edge-machine-learning embedded-systems embml iot-device machine-learning microcontroller microcontrollers scikit-learn tinyml weka
Last synced: 10 Oct 2024
https://github.com/jakoch/jupyter-devbox
A Docker DevBox for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Finance, Statistics and Visualization.
debian docker imutils jupyter-notebook keras opencv pandas python3 scikit-learn scipy seaborn tensorflow
Last synced: 28 Oct 2024
https://github.com/lorransutter/predictstock-svm
ML model for stock trend prediction using Python
k-means kfold-cross-validation machine-learning matplotlib numpy pandas python python3 random-forest scikit-learn sklearn stock-trend-prediction support-vector-machine trend-prediction
Last synced: 08 Nov 2024
https://github.com/balins/fuzzytree
A Fuzzy Decision Tree implementation for Python.
classification decision-trees fuzzy-logic machine-learning scikit-learn
Last synced: 08 Nov 2024
https://github.com/bgu-cs-vil/pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
clustering dpmeans kmeans machine-learning minibatch scikit-learn
Last synced: 13 Oct 2024
https://github.com/karelze/tclf
A scikit-learn compatible classifier to perform trade classification in Python.
empirical finance microstructure python rule-based-classifier scikit-learn trade-classification
Last synced: 11 Oct 2024
https://github.com/fabianp/mash_2016_sklearn_intro
Material for the MASH course on introduction to scikit-learn
machine-learning notebooks scikit-learn tutorial
Last synced: 16 Oct 2024
https://github.com/lucaangioloni/fit-covid19
Easy model to fit logistic curve to COVID19 data from Italy. Demo: https://fit-covid19.herokuapp.com
contagi-giornalieri coronavirus covid-19 covid-virus covid19 demo forecasting italy logistic prediction python regression scikit-learn totale-contagi
Last synced: 20 Oct 2024
https://github.com/KarelZe/tclf
A scikit-learn compatible classifier to perform trade classification in Python.
empirical finance microstructure python rule-based-classifier scikit-learn trade-classification
Last synced: 17 Aug 2024
https://github.com/resotto/python3-docker-devenv
Docker Start Guide with Python Development Environment
deep-learning development-environment docker docker-commands docker-container docker-daemon docker-image docker-volume dockerfile dockerhub matplotlib numpy python python3 scikit-learn sklearn ssh tensorflow ubuntu
Last synced: 15 Oct 2024
https://github.com/lettier/interactivekmeans
Interactive HTML canvas based implementation of k-means.
ai cluster cluster-analysis clustering clustering-algorithm clustering-evaluation clustering-methods data-science interactive-kmeans kmeans kmeans-algorithm kmeans-clustering machine-learning machine-learning-algorithms scikit-learn
Last synced: 30 Oct 2024
https://github.com/rclement/datasette-ml
A Datasette plugin providing an MLOps platform to train, eval and predict machine learning models
ai datasette datasette-plugin machine-learning mlops python scikit-learn sql sqlite
Last synced: 11 Oct 2024
https://github.com/scikit-learn-contrib/sklearn-ann
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
approximate-nearest-neighbor-search clustering knn knn-graphs scikit-learn
Last synced: 06 Nov 2024
https://github.com/manasvigoyal/gmail-classification
Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.
beautifulsoup classification email-classification excel gmail jupyter-notebooks machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Oct 2024
https://github.com/godfanmiao/pyai-github-2024
《 Python人工智能编程实践(2024年度版)》全书数据和开源代码【已出版】
git paddlepaddle pandas pyspark python3 pytorch scikit-learn tensorflow
Last synced: 08 Nov 2024
https://github.com/soda-inria/sklearn-numba-dpex
Experimental plugin for scikit-learn to be able to run (some estimators) on Intel GPUs via numba-dpex.
gpu intel numba-dpex scikit-learn
Last synced: 31 Oct 2024
https://github.com/psnappz/machine-learning-and-data-mining-algorithms
Machine Learning Algorithms Python [In Active Development]
algorithms classification data-mining data-mining-algorithms datascience machine-learning machine-learning-algorithms projects python random-forest rotation-forest scikit-learn sklearn uci-machine-learning
Last synced: 05 Nov 2024
https://github.com/scikit-learn/blog
Hosting the scikit-learn blog.
community data-science machine-learning open-source python scikit-learn
Last synced: 07 Oct 2024
https://github.com/ashishpatel26/MLflow_End_to_End_Example
MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
mlflow mlflow-example mlflow-tracking scikit-learn xgboost
Last synced: 03 Aug 2024
https://github.com/younader/dnnr
The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.
annoy knn machine-learning machine-learning-algorithms numpy python3 scikit-learn tabular-data
Last synced: 08 Nov 2024
https://github.com/yorko/jupyter_demonstrations
Random jupyter notebooks on data analysis and machine learning
data-analysis fun habrahabr-posts ipynb jupyter-notebook machine-learning pandas python russian scikit-learn visualization
Last synced: 11 Oct 2024
https://github.com/ashishpatel26/sklearn-ranking
Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package
ranking ranking-algorithm ranking-methods scikit-learn sklearn sklearn-ranking
Last synced: 14 Oct 2024
https://github.com/aleximb/automl-streams
AutoML framework for implementing automated machine learning on data streams
automl data-streams scikit-learn
Last synced: 27 Oct 2024
https://github.com/chongyasong/youml
YouML: A Machine Learning Toolkit
ai artificial-intelligence big-data data-mining data-science machine-learning matplotlib numpy pandas python scikit-learn scipy
Last synced: 13 Oct 2024
https://github.com/sakshi-choudhary/voice4rural
A complete one stop solution for all the problems of Rural area people. 👩🏻🌾
artificial-intelligence chartjs decision-trees deep-learning fastapi hackathon javascript machine-learning mongodb natural-language-processing pandas python reactjs scikit-learn tensorflow
Last synced: 06 Nov 2024
https://github.com/huangcongqing/sklearn
scikit-learn (sklearn) 常用的机器学习,包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法
Last synced: 24 Oct 2024
https://github.com/atul-anand-jha/time-series-forecast-nsepy
Redcarpetup.com assignment Intern Task
bokeh nse-stock-data python scikit-learn stock time-series time-series-analysis
Last synced: 12 Oct 2024
https://github.com/sayakpaul/generating-categories-from-arxiv-paper-titles
This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv article/paper titles
arxiv deep-learning gcp natural-language-processing scikit-learn tensorflow wandb
Last synced: 23 Oct 2024
https://github.com/zeke/github-avatars
A machine learning model to detect whether a GitHub user has a custom or default avatar
cog machine-learning replicate scikit-learn
Last synced: 21 Oct 2024
https://github.com/tribeofai/toai
jupyter-notebook numpy pandas python scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/holgern/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
binder hyperparameter-optimization hyperparameter-search hyperparameter-tuning maschine-learning optimization scientific-visualization scikit-learn sequential-recommendation visualization
Last synced: 10 Oct 2024
https://github.com/snehankekre/streamlit-yellowbrick
Streamlit component for the Yellowbrick visualization and model diagnostics library
data-visualization machine-learning matplotlib python scikit-learn streamlit visualization yellowbrick
Last synced: 10 Oct 2024
https://github.com/san089/big_data_project
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
classifiers ensemble-model fakenewsdetection machine-learning news-classification scikit-learn text-mining textclassification vectorization vectorizers
Last synced: 12 Oct 2024
https://github.com/genfifth/cvopt
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
bayesian-optimization deep-learning feature-selection hyperopt hyperparameter-optimization integrated-visualization keras logmanagement machine-learning python scikit-learn
Last synced: 13 Oct 2024
https://github.com/hbldh/skboost
MILBoost and other boosting algorithms, compatible with scikit-learn
boosting boosting-algorithms machine-learning scikit-learn
Last synced: 15 Oct 2024
https://github.com/rohankishore/graphyte
A simple, and responsive math graphing app powered by PyQt6, NumPy and Matplotlib. Create and analyze functions with ease.
equation-solver geogebra graph graph-algorithms matplotlib numpy pyqt6 python scikit-learn visualization
Last synced: 27 Oct 2024
https://github.com/chandraprakash-bathula/apparel-recommendations
This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.
boxplot cnn-keras data-analysis data-science deep-learning linear-regression machine-learning numpy pandas scatter-plot scikit-learn svm tensorflow xgboost
Last synced: 28 Oct 2024
https://github.com/snoop2head/instagram_hashtag_analysis
📷 Crawl and Analyze Instagram Hashtag Data: KoNLPY to gensim word2Vec & scikit-learn TF-IDF
adjective gensim gensim-word2vec instagram-hashtag-analysis konlpy natural-language-processing noun scikit-learn scikitlearn tf-idf word2vec
Last synced: 04 Nov 2024
https://github.com/joeyorlando/self_driving_car
Neural network/Haar cascade trained self-driving RC car using Raspberry Pi
haar-cascade javascript machine-learning neural-network opencv python python3 raspberry-pi raspberry-pi-camera raspberry-pi-car scikit-learn scikitlearn-machine-learning unsupervised-learning
Last synced: 11 Oct 2024
https://github.com/kenlimmj/fightin-words
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
bayesian-methods evaluation-metrics nlp scikit-learn
Last synced: 12 Oct 2024
https://github.com/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.
anaconda data-visualization flask gunicorn-web-server heroku-deployment html5 joblib jupyter-notebook machine-learning-algorithms matplotlib-pyplot numpy pandas pycharm-ide python3 randomizedsearchcv scikit-learn seaborn statsmodels xgboost-regression
Last synced: 09 Oct 2024
https://github.com/tslu1s/atlantic
Atlantic: Automated Data Preprocessing Framework for Supervised Machine Learning
automation automl automl-pipeline data-preprocessing data-science feature-selection label-encoder machine-learning onehot-encoder predictive-maintenance predictive-modeling preprocessing-pipeline python scikit-learn
Last synced: 13 Oct 2024
https://github.com/axegon/sklite
Transpile scikit-learn models to Flutter
fluttter python36 scikit-learn
Last synced: 11 Oct 2024
https://github.com/analyzable-fr/patch-based-texture-inpainting
Patch-based inpainting Python library
computer-vision image image-processing inpainting machine-learning opencv opencv-python scikit-image scikit-learn
Last synced: 11 Oct 2024
https://github.com/ozguraslank/flexml
Easy-to-use and flexible AutoML library for Python
automl data-science machine-learning python scikit-learn
Last synced: 10 Oct 2024
https://github.com/vc1492a/henosis
A Python framework for deploying recommendation models for form fields.
categorical-features classification machine-learning predictive-modeling python recommendation-system recommender-system scikit-learn supervised-learning
Last synced: 14 Oct 2024
https://github.com/mohd-faizy/career-track-data-scientist-with-python
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
data-science data-visualization datascience-machinelearning datasciencecoursera datascientist datascientisttraining decision-trees hypothesis hypothesis-testing machine-learning machine-learning-algorithms nlp-machine-learning numpy pandas python scikit-learn seaborn statistical
Last synced: 28 Oct 2024
https://github.com/omadson/scikit-mlm
Minimal Learning Machine implementation using the scikit-learn API.
classification hacktoberfest machine-learning machine-learning-algorithms machine-learning-api machine-learning-library machine-learning-models minimal-learning-machine mlm pypi pypi-package python python3 regression scikit-learn
Last synced: 13 Oct 2024
https://github.com/starkblaze01/sentiment-analyzer
Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React
flask-server keras-tensorflow python reactjs scikit-learn sentiment-analysis sklearn tweepy typescript
Last synced: 27 Oct 2024
https://github.com/yu9824/kennard_stone
This is an algorithm for evenly partitioning.
kfold-cross-validation python scikit-learn train-test-split
Last synced: 27 Oct 2024
https://github.com/chawyehsu/wende
🍎Wende Chinese QA system (experimental)
anaconda ltp machine-learning nlp nlp-machine-learning python question-answering scikit-learn word2vec
Last synced: 13 Oct 2024
https://github.com/avoss84/bhad
A Python library for Bayesian Anomaly Detection
anomaly-detection bayesian-inference explainability machine-learning scikit-learn unsupervised-machine-learning
Last synced: 07 Nov 2024
https://github.com/resotto/laplace
LSTM Model to predict BTCUSD ticker values
bidirectional-lstm deep-learning keras lstm numpy python python3 recurrent-neural-networks scikit-learn sklearn tensorflow
Last synced: 15 Oct 2024
https://github.com/akoury/ml-helper
Python library with helpers to speed up and structure machine learning projects.
data data-visualization machine-learning ml python scikit-learn sklearn
Last synced: 10 Oct 2024
https://github.com/hollance/ignition
PyTorch helper code
deep-learning machine-learning neural-networks python pytorch scikit-learn
Last synced: 29 Oct 2024
https://github.com/r-m-n/sklearn-deltatfidf
DeltaTfidfVectorizer for scikit-learn
delta-tf-idf python scikit-learn sentiment-analysis sklearn tf-idf
Last synced: 14 Oct 2024
https://github.com/centre-for-humanities-computing/stormtrooper
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.
chatgpt few-shot-learning gpt-4 large-language-models llm scikit-learn transformer transformers zero-shot-learning
Last synced: 10 Oct 2024
https://github.com/alexioannides/lime-interpretable-ml
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
data-science interpretability lime machine-learning numpy pandas pydata python scikit-learn
Last synced: 12 Oct 2024
https://github.com/contextlab/data-wrangler
Wrangle messy numerical, image, and text data into consistent well-organized formats
data data-analysis data-science data-wrangling hugging-face image-data machine-learning nlp numpy pandas python scikit-learn
Last synced: 12 Oct 2024
https://github.com/bnediction/scboolseq
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
bioinformatics boolean-networks computational-biology machine-learning pandas python3 scikit-learn scrna-seq single-cell-rna-seq
Last synced: 12 Oct 2024
https://github.com/isala404/r2d2
Line Following Robot Powered By OpenCV and Machine Learing
ai linefollower machine-learing numpy opencv python3 rasberrypi scikit-learn tensorflow
Last synced: 15 Oct 2024
https://github.com/sayakpaul/dockerml
Contains my explorations of using Docker to automate ML workflows.
ci-cd docker scikit-learn tensorflow wandb
Last synced: 23 Oct 2024
https://github.com/ccrvlh/autoclass
Script that automatically classifies your bank statement into pre-determined labels.
banking banking-applications machine-learning personal-finance python scikit-learn
Last synced: 13 Oct 2024
https://github.com/jeffzi/pandas-select
Supercharged pandas indexing
pandas pandera python scikit-learn
Last synced: 19 Oct 2024
https://github.com/janjoswig/commonnnclustering
A Python package for common-nearest-neighbours clustering
clustering common-nearest-neighbours density-based-clustering markov-model molecular-dynamics scikit-learn
Last synced: 10 Oct 2024
https://github.com/qiancao/hskl
A library for hyperspectral image analysis using scikit-learn.
hyperspectral image-analysis-toolbox machine-learning scikit-learn
Last synced: 14 Oct 2024
https://github.com/sshh12/csgo-market-analysis
Some interesting stats from the CS:GO Steam community market.
csgo csgo-skins scikit-learn steam-market
Last synced: 27 Oct 2024
https://github.com/alexioannides/bodywork-mlops-demo
Demonstrating how Bodywork can be used to deploy a simulation of the lifecycle of a train-and-serve ML pipeline, responding to new data undergoing concept drift.
aws data-science docker kubernetes machine-learning mlops numpy python scikit-learn
Last synced: 12 Oct 2024
https://github.com/chrislemke/sk-transformers
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
data-science feature-engineering feature-selection machine-learning pandas preprocessing python scikit-learn scikit-learn-pipelines scikit-learn-transformer
Last synced: 13 Oct 2024
https://github.com/gbolmier/sklearn-neighbors-benchmark
:bar_chart: Scikit-learn nearest neighbors algorithms benchmark
benchmark nearest-neighbors-algorithms scikit-learn
Last synced: 13 Oct 2024
https://github.com/sdpython/papierstat
Lectures on Machine Learning (French)
data-science machine-learning python3 scikit-learn teaching-materials
Last synced: 23 Oct 2024
https://github.com/lpfann/fri
Python implementation of the feature relevance interval (FRI) algorithm
bioinformatics biomarker-discovery data-science feature-relevance-interval feature-selection machine-learning-algorithms python scikit-learn
Last synced: 28 Oct 2024
https://github.com/tlapusan/woodpecker
A python library used for tree structure interpretation.
decision-trees machine-learning random-forest scikit-learn sklearn visualization
Last synced: 24 Oct 2024
https://github.com/34j/boost-loss
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
autograd catboost custom-loss custom-loss-functions evaluation-metrics gbdt gradient-boosting hacktoberfest lightgbm pytorch scikit-learn sklearn sklearn-compatible xgboost
Last synced: 07 Nov 2024
https://github.com/octo-technology/ddui
Airflow's plugin for Data Science pipeline visualisation
airflow airflow-plugin datadriver datascience ml pandas-python scikit-learn
Last synced: 10 Oct 2024
https://github.com/lai-bluejay/diego
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
automl autosklearn bayesian-optimization generation-algorithms hyperparameter-optimization machine-learning scikit-learn
Last synced: 14 Oct 2024
https://github.com/nossbigg/fyp_py
Source code for A Study on Rumour Detection on Online Social Networks final year research project
machine-learning nltk python scikit-learn sentiment-analysis twitter
Last synced: 24 Oct 2024
https://github.com/wangjksjtu/Data-Mining-51Job
Data-mining on 51Job website
51job data-mining machine-learning scikit-learn seaborn web-crawling
Last synced: 03 Aug 2024
https://github.com/mit-lcp/shakespeare-method
The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.
adverse-events ehr ehr-notes epidemiology feature-selection latent-dirichlet-allocation medical mimic-iii postgres python scikit-learn topic-modeling
Last synced: 05 Nov 2024
https://github.com/manojkarthick/pcregression
Python package to build principal components regression model using the scikit-learn library.
machine-learning python scikit-learn
Last synced: 13 Oct 2024
https://github.com/burhanuday/ml-dl-algorithms
Repository containing notes, cheatsheets, datasets and usage of different ML and DL algorithms and libraries. These files can be used as base templates for your next project
deep-learning deeplearning keras machine-learning machinelearning neural-networks scikit-learn
Last synced: 29 Oct 2024
https://github.com/veb-101/machine-learning-algorithms
One notebook to learn it all - Algorithms from scratch
matplotlib numpy pandas python-3-7 scikit-learn scipy seaborn
Last synced: 05 Nov 2024
https://github.com/prakharchoudhary/mlworld
A collection of simple machine learning projects, that got me started in this wonderful domain!
classification clustering iris-dataset keras-neural-networks knn machine-learning neural-networks numpy pandas python scikit-learn
Last synced: 12 Oct 2024
https://github.com/integeralex/netflix-recommendation-system
This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python
ai collaborate docker express netflix nodejs pandas recommendation-system scikit-learn
Last synced: 18 Oct 2024
https://github.com/thieu1995/reflame
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
classification evolutionary-algorithms feed-forward-neural-networks flnn functional-link-artificial-neural-network functional-link-neural-network genetic-algorithm higher-order-functions higher-order-neural-network machine-learning metaheuristic-algorithms nature-inspired-algorithms neural-network optimization-algorithms particle-swarm-optimization pytorch-model regression scikit-learn shade whale-optimization-algorithm
Last synced: 11 Oct 2024
https://github.com/dayyass/extended-naive-bayes
[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
data-science distributions generative-model machine-learning naive-bayes python sampling scikit-learn
Last synced: 14 Oct 2024
https://github.com/francocerino/scikit-reducedmodel
Reduced Order Models in a scikit-learn approach.
machine-learning python reduced-basis reduced-order-modeling scikit-learn
Last synced: 19 Oct 2024
https://github.com/dongjunlee/datascience-notebooks
Collection of Data Science Notebooks
data-science data-visualization jupyter-notebook pandas scikit-learn
Last synced: 08 Nov 2024
https://github.com/nova-ims-innovation-and-analytics-lab/cluster-over-sampling
A general interface for clustering based over-sampling algorithms.
data-science imbalanced-data imbalanced-learning machine-learning oversampling python3 scikit-learn
Last synced: 10 Oct 2024
https://github.com/omegaml/dashserve
develop and serve Plotly Dash apps in Jupyter Notebook or JupyterLab
data-science plotly plotly-dash scikit-learn
Last synced: 10 Oct 2024
https://github.com/jaidevd/kepler
Smart journal for ML experiments.
deep-learning keras machine-learning python scientific-workflows scikit-learn tensorflow
Last synced: 26 Sep 2024