scikit-learn | Ecosyste.ms: Awesome

https://github.com/rickiepark/handson-ml3

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

deep-learning handson-ml3 keras machine-learning neural-network scikit-learn tensorflow

Last synced: 09 Apr 2025

https://github.com/superlinear-ai/conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

conformal-prediction forecasting machine-learning prediction-intervals python quantile-regression scikit-learn time-series-forecasting

Last synced: 11 Oct 2025

https://github.com/ibrahimsharaf/doc2vec

:notebook: Long(er) text representation and classification using Doc2Vec embeddings

doc2vec gensim nlp-machine-learning scikit-learn sentiment-analysis text-classification

Last synced: 09 Mar 2026

https://github.com/AlexIoannides/pymc-example-project

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn

Last synced: 19 Jul 2025

https://github.com/alexioannides/pymc-example-project

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn

Last synced: 05 Jul 2025

https://github.com/amicks/speculator

API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis

algorithm finance machine-learning market python python3-6 scikit-learn technical-analysis tensorflow

Last synced: 03 Aug 2025

https://github.com/danmorales/cursods_profdanilo

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

aprendizado-de-maquina ciencia-de-dados data-science deep-learning keras-classification-models keras-layer keras-models keras-neural-networks machine-learning machine-learning-algorithms numpy pandas-dataframe pandas-python scikit-learn scikitlearn-machine-learning scipy tensorflow tensorflow-tutorials

Last synced: 14 Jul 2025

https://github.com/phausamann/sklearn-xarray

Metadata-aware machine learning.

framework machine-learning scikit-learn xarray

Last synced: 13 Apr 2025

https://github.com/raamana/neuropredict

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

anatomical-mri cross-validation easy-to-use functional-connectivity machine-learning neuroimaging nilearn pattern-recognition report resting-state scikit-learn structural-imaging tract-based-statistics tractography

Last synced: 09 Apr 2025

https://github.com/x-tabdeveloping/topicwizard

Powerful topic model visualization in Python

dash machine mantine plotly plotly-dash scikit-learn sklearn tailwindcss topic-modeling visualization

Last synced: 10 Apr 2025

https://github.com/anthony-wang/CrabNet

Predict materials properties using only the composition information!

attention attention-mechanism machine-learning materials-informatics materials-science materials-screening neural-networks predict-materials-properties pytorch scikit-learn self-attention transformer

Last synced: 07 May 2025

https://github.com/davisidarta/topometry

Systematically learn and evaluate manifolds from high-dimensional data

clustering data-science data-visualization dimensionality-reduction graph graph-layout hypothesis-generation laplace-beltrami machine-learning manifold-learning scikit-learn single-cell visualization

Last synced: 20 Aug 2025

https://github.com/duyongan/sunstreaker

以jax为后端的类似keras的框架

beginner-friendly data-science deep-learning deep-learning-algorithms deep-learning-framework deep-learning-library deep-learning-tutorial deep-neural-networks jax keras machine-learning ml neural-network nlp numpy python pytorch scikit-learn tensorflow

Last synced: 12 Sep 2025

https://github.com/omegaml/omegaml

MLOps simplified. One platform, all the functionality you need. Swiss made

artificial-intelligence celery data-science deploy docker-image jupyter-notebook machine-learning mlops productized pytorch scikit-learn tensorflow

Last synced: 04 Apr 2025

https://github.com/ing-bank/skorecard

scikit-learn compatible tools for building credit risk acceptance models

credit-risk creditrisk logistic-regression machine-learning scikit-learn scorecard scorecard-model scorecards

Last synced: 13 Apr 2025

https://github.com/mratsim/Arch-Data-Science

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

archlinux cuda cudnn data-science deep-learning lightgbm machine-learning mkl mxnet natural-language-processing natural-language-understanding nervana opencv package pandas pytorch scikit-learn spacy tensorflow xgboost

Last synced: 20 Jul 2025

https://github.com/zlxy9892/ml_code

A repository for recording the machine learning code

apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow

Last synced: 22 Jul 2025

https://github.com/aws-samples/aws-lambda-docker-serverless-inference

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

aws aws-lambda deep-java-library djl docker huggingface huggingface-transformers inference java machine-learning pytorch pytorch-models sagemaker scikit-learn serverless serverless-application-model tensor-flow tensorflow tensorflow-java xgboost

Last synced: 15 Mar 2025

https://github.com/edyoda/machine-learning-for-beginners

Start writing machine learning code in just 10 hours

machine-learning practice-project scikit-learn

Last synced: 09 Jan 2026

https://github.com/mratsim/arch-data-science

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

archlinux cuda cudnn data-science deep-learning lightgbm machine-learning mkl mxnet natural-language-processing natural-language-understanding nervana opencv package pandas pytorch scikit-learn spacy tensorflow xgboost

Last synced: 18 Apr 2025

https://github.com/ec-kity/ec-kity

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

evolutionary-algorithms evolutionary-computation genetic-algorithms genetic-programming machine-learning python scikit-learn sklearn symbolic-regression

Last synced: 04 Apr 2025

https://github.com/polyaxon/mloperator

Machine learning operator & controller for Kubernetes

dask deep-learning k8s keras kubernetes kubernetes-operator machine-learning mlops mpi mxnet notebook pytorch scikit-learn spark tensorboard tensorflow xgboost

Last synced: 03 Mar 2025

https://github.com/wisepythagoras/website-fingerprinting

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

anonymous anonymous-users capture classifier deanonymization fingerprinting fingerprinting-algorithm fingerprinting-methods goldberg machine-learning packets privacy scikit-learn tor traffic user-privacy wang website-fingerprinting

Last synced: 27 Oct 2025

https://github.com/plasmacontrol/pyrcn

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

echo-state-network extreme-learning-machine machine-learning reservoir-computing scikit-learn

Last synced: 22 Sep 2025

https://github.com/PlasmaControl/PyRCN

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

echo-state-network extreme-learning-machine machine-learning reservoir-computing scikit-learn

Last synced: 09 Jul 2025

https://github.com/gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker scikit-learn tensorflow xgboost

Last synced: 15 Apr 2025

https://github.com/rickiepark/do-it-dl

<Do it! 딥러닝 입문> 도서의 주피터 노트북

deep-learning keras machie-learning neural-networks python scikit-learn tensorflow

Last synced: 28 Jul 2025

https://github.com/neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn

Last synced: 01 Apr 2026

https://github.com/comet-ml/issue-tracking

Questions, Help, and Issues for Comet ML

comet-ml keras machine-learning pytorch scikit-learn tenserflow

Last synced: 26 Oct 2025

https://github.com/zjuearthdata/geochemistrypi

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

dash data-science fastapi flaml geochemistry mlflow nodejs ray reactjs scikit-learn typer

Last synced: 13 Dec 2025

https://github.com/girishp92/human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

android-application androidstudio deep-learning hidden-units human-activities lstm-neural-networks machine-learning pickle proof-of-concept pycharm-ide python3 rnn-tensorflow scikit-learn smartphone-accelerometer

Last synced: 12 Apr 2025

https://github.com/habedi/practicalmachinelearning

A collection of open-source and free machine learning resources

anomaly-detection data-analysis data-mining data-science data-science-resourses datasets deep-learning deep-neural-networks graph-algorithms graph-mining jupyter-notebook kaggle machine-learning pandas python python-machine-learning scikit-learn self-learning zeppelin-notebook

Last synced: 07 Nov 2025

https://github.com/skekre98/nba-search

flask application designed to explore NBA statistics :basketball:

beautifulsoup4 flask javascript pandas python3 scikit-learn

Last synced: 08 Apr 2025

https://github.com/petrobras/bibmon

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

echo-state-network fault-detection fault-diagnosis machine-learning neural-networks pca process-monitoring process-systems-engineering scikit-learn soft-sensor time-series

Last synced: 13 Apr 2025

https://github.com/yandexdataschool/mlatimperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

deep-learning imperial-college keras lectures machine-learning practice scikit-learn sklearn theano yandex

Last synced: 09 Mar 2026

https://github.com/lettier/interactiveknn

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

ai classification data-analysis data-science gui html5 interactive-knearest-neighbors javascript k-nearest-neighbor k-nearest-neighbors k-nearest-neighbours knn machine-learning machine-learning-algorithms nearest-neighbor-search scikit-learn statistics visualization

Last synced: 26 Mar 2025

https://github.com/docker-hub-frolvlad/docker-alpine-python-machinelearning

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

alpine docker-image machine-learning numpy pandas python scikit-learn scipy

Last synced: 12 Apr 2025

https://github.com/gagolews/datawranglingpy

Minimalist Data Wrangling with Python (Open-Access Textbook)

data-analysis data-science data-visualisation data-wrangling jupyter machine-learning matplotlib modelling numpy pandas python python3 scikit-learn scipy scipy-stats seaborn statistics

Last synced: 09 Apr 2025

https://github.com/alexfrancow/a-detector

:star: An anomaly-based intrusion detection system.

anomaly-detection csv flask isolation-forest jquery machine-learning network-analysis pandas pcap-analyzer plotly python python3 scikit-learn security wireshark

Last synced: 09 Jul 2025

https://github.com/iamdecode/sklearn-pmml-model

A library to parse and convert PMML models into Scikit-learn estimators.

machine-learning pmml scikit-learn sklearn

Last synced: 04 Apr 2025

https://github.com/squlearn/squlearn

scikit-learn interface for quantum algorithms

machine-learning python quantum quantum-computing quantum-machine-learning scikit-learn

Last synced: 13 Apr 2025

https://github.com/noahgift/real_estate_ml

Machine Learning for Real Estate

jupyter-notebook knn machine-learning pandas plotly python real-estate scikit-learn unsupervised-learning

Last synced: 05 Apr 2025

https://github.com/csinva/imodelsx

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding neural-network pytorch scikit-learn text text-classification transformer-models xai

Last synced: 16 May 2025

https://github.com/glemaitre/pyparis-2018-sklearn

PyParis tutorial on machine learning using scikit-learn

data-science machine-learn pandas scikit-learn

Last synced: 09 Oct 2025

https://github.com/oneoffcoder/books

A collection of online books for data science, computer science and coding!

books coder computer-science data-science docker java python r scikit-learn scratch software software-development software-engineering spark sphinx tutorials

Last synced: 06 Apr 2025

https://github.com/scikit-mine/scikit-mine

scikit-mine : pattern mining in Python

datamining minimum-description-length pattern-mining scikit scikit-learn

Last synced: 05 Oct 2025

https://github.com/msmbuilder/osprey

🦅Hyperparameter optimization for machine learning pipelines 🦅

cross-validation hyperparameter-optimization machine-learning models optimization pretty-logo python scikit-learn

Last synced: 17 Mar 2026

https://github.com/bits-bytes-nn/gauss-rank-scaler

Scikit-learn compatible implementation of the Gauss Rank scaling method

gauss-rank scikit-learn transformer

Last synced: 17 Mar 2025

https://github.com/ahmedbesbes/playground

A Streamlit application to play with machine learning models directly from the browser

classification-algorithms heroku-deployment machine-learning machine-learning-tutorials playgound python scikit-learn sklearn streamlit webapp

Last synced: 14 Jul 2025

https://github.com/bretttolbert/verbecc

Complete Conjugation of any Verb(e) in Catalan, French, Italian, Portuguese, Romanian or Spanish and conjugate unknown verbs using Machine Learning

catalan catalan-language conjugation conjugator french french-language french-nlp linguistics machine-learning natural-language-processing nlp portuguese-language portuguese-verbs romanian romanian-language scikit-learn spanish-language spanish-verbs verb-conjugation verbs

Last synced: 21 Sep 2025

https://github.com/IliaZenkov/sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn

Last synced: 22 Mar 2025

https://github.com/sdpython/mlinsights

Extends scikit-learn with new models, transformers, metrics, plotting.

algorithms machine-learning python3 scikit-learn

Last synced: 09 Sep 2025

https://github.com/jianzhnie/autotabular

Automatic machine learning for tabular data. ⚡🔥⚡

automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost

Last synced: 06 Sep 2025

https://github.com/decargroup/pykoop

Koopman operator identification library in Python, compatible with `scikit-learn`

control dynamical-systems koopman machine-learning scikit-learn

Last synced: 05 Apr 2025

https://github.com/bpesquet/mlkatas

(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

activity assignment challenge exercise kata keras machine-learning nbgrader numpy python scikit-learn

Last synced: 24 Oct 2025

https://github.com/polyaxon/polyaxon-examples

Code for tutorials and examples

deep-learning deeplearning horovod jupyter-notebook keras kubeflow kubernetes machine-learning mlops mpi mpijob mxnet nerual-network polyaxon pytorch pytorchjob scikit-learn tensorflow tfjob

Last synced: 30 Dec 2025

https://github.com/educationaltestingservice/rsmtool

A Python package to facilitate research on building and evaluating automated scoring models.

automated-scoring-engines fairness hacktoberfest python scikit-learn scoring-models visualization

Last synced: 04 Apr 2025

https://github.com/sdpython/mlprodict

Productionize machine learning predictions, with ONNX or without

machine-learning onnx python3 scikit-learn

Last synced: 13 Dec 2025

https://github.com/jianzhnie/AutoTabular

Automatic machine learning for tabular data. ⚡🔥⚡

automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost

Last synced: 13 Jul 2025

https://github.com/codingforentrepreneurs/the-hello-world-of-machine-learning

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

machine-learning machine-learning-python ml python scikit-learn tutorial

Last synced: 18 Jan 2026

https://github.com/rickiepark/hg-da

<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소

data-analysis data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn scipy

Last synced: 06 Apr 2025

https://github.com/datasciencecampus/pyGrams

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

dsc-projects emergence-calculations natural-language-processing nlp nltk patents python scikit-learn tf-idf

Last synced: 18 Mar 2025

https://github.com/polyaxon/hypertune

A library for performing hyperparameter optimization

data-science deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning mlops numpy scikit-learn workflow

Last synced: 24 Dec 2025

https://github.com/apinf/ml-rest

REST API (and possible UI) for Machine Learning workflows

machine-learning python rest-api scikit-learn

Last synced: 02 Jul 2025

https://github.com/kingabzpro/fastapi-for-ml

Building a simple FastAPI application for model inference.

fastapi jinja2-templates machine-learning scikit-learn

Last synced: 17 Jun 2025

https://github.com/maxhumber/bre

⭕️ Building Recommendation Engines

lightfm machine-learning oreilly python scikit-learn

Last synced: 19 Aug 2025

https://github.com/pengzhaoqing/kdd99-scikit

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

confusion-matrix decision-tree intrusion-detection kdd99 mlp scikit-learn

Last synced: 02 Sep 2025

https://github.com/ashishpatel26/datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

catboost data-science data-science-env datascienv imbalanced-data lightgbm matplotlib numpy pandas pycaret scikit-learn seaborn tensorflow2 xgboost

Last synced: 24 Oct 2025

https://github.com/rodrigo-arenas/kafkaml-anomaly-detection

Project for real-time anomaly detection using Kafka and python

anomaly-detection apache-karaf confluent-kafka kafka machine-learning python real-time-analytics real-time-processing scikit-learn scikit-learning sklearn stream-processing

Last synced: 30 Apr 2025

https://github.com/tgsmith61591/skoot

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

data-science imbalanced-data machine-learning pandas python scikit-learn skutil

Last synced: 11 Sep 2025

https://github.com/bfortuner/computer-vision

Computer vision sabbatical study materials

computer-vision deep-learning jupyter machine-learning opencv pytorch scikit-learn

Last synced: 24 Apr 2025

https://github.com/AFAgarap/wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

binary-classification classification linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron nearest-neighbours-classifier recurrent-neural-network scikit-learn softmax-regression supervised-learning support-vector-machine tensorflow

Last synced: 09 Jul 2025

https://github.com/reddyprasade/machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 01 Aug 2025

https://github.com/arosh/BM25Transformer

(Python) transform a document-term matrix to an Okapi/BM25 representation

information-retrieval machine-learning natural-language-processing python scikit-learn

Last synced: 13 Jul 2025

https://github.com/kapilsinghnegi/fake-news-detection

This project detects whether a news is fake or not using machine learning.

decision-tree-classifier fakenewsdetection gradient-boosting-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn sklearn

Last synced: 03 Mar 2026

https://github.com/tatevkaren/recurrent-neural-network-pricing-model

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

bitcoin bitcoin-price case-study-paper deep-learning google google-stock-prices keras lstm machine-learning pandas price-prediction recurrent-neural-networks rnn-model scikit-learn stock-price-prediction stock-prices tensorflow

Last synced: 10 Apr 2025

https://github.com/laic-ufmg/Recipe

Automated machine learning (AutoML) with grammar-based genetic programming

automl genetic-programming grammar grammar-based-genetic-programming recipe scikit-learn

Last synced: 15 Nov 2025

https://github.com/crflynn/skranger

scikit-learn compatible Python bindings for ranger C++ random forest library

machine-learning random-forest scikit-learn

Last synced: 21 Aug 2025

https://github.com/paucablop/chemotools

Integrate your chemometric tools with the scikit-learn API 🧪 🤖

artificial-intelligence autoencoders chemometrics deep-learning hacktoberfest ir-spectroscopy machine-learning multivariate-analysis nir-spectroscopy python raman-spectroscopy scikit-learn sklearn spectra spectroscopy

Last synced: 11 Mar 2026

https://github.com/bhavik-jikadara/ai-ml-roadmap

Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2025! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals to advanced topics.

artificial-intelligence computer-vision deep-learning deployment fundamentals-of-programming keras libraries machine-learning mathematics mlops natural-language-processing production-code pytorch reinforcement-learning roadmap scikit-learn tensorflow tools

Last synced: 30 Apr 2025

https://github.com/kaggledatasets/kaggledatasets

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

data-science datasets deep-learning kaggle keras machine-learning python pytorch scikit-learn tensorflow

Last synced: 20 Jun 2025

https://github.com/rickiepark/intro_ml_with_python_2nd_revised

<파이썬 라이브러리를 활용한 머신러닝 (번역개정2판)>의 코드 저장소

machine-learning numpy pandas python scikit-learn

Last synced: 10 Apr 2025

https://github.com/packtworkshops/the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors

Last synced: 15 Apr 2025

https://github.com/fridiculous/django-estimators

a django app to persist and retrieve scikit learn machine learning models

django machine-learning scikit-learn

Last synced: 26 Oct 2025

https://github.com/solygambas/mlops-projects

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

docker fastapi google-cloud google-cloud-platform huggingface huggingface-transformers keras kubectl kubeflow kubernetes machine-learning mlops python scikit-learn tensorflow

Last synced: 19 Mar 2025

https://github.com/superkogito/voice-based-speaker-identification

:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM

gaussian-mixture-models gmm machine-learning mel-frequencies mel-frequency-cepstral-coefficients mfcc scikit-learn scikit-learn-python signal speaker-identification speaker-recognition speech vocal voice

Last synced: 06 Sep 2025

https://github.com/kingabzpro/ml-workflow-orchestration-with-prefect

An introductory project to streamline the machine learning pipeline using Prefect and Discord Notifications, from data ingestion to model saving

discord mlops prefect scikit-learn

Last synced: 05 May 2026

https://github.com/trainingbypackt/natural-language-processing-fundamentals

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

api binary-classifier latent-dirichlet-allocation lda linear-regression markov-chain natural-language-processing nlp pandas python scikit-learn supervised tokenization unsupervised

Last synced: 10 Apr 2025

https://github.com/pjaselin/cubist

A Python package for fitting Quinlan's Cubist regression model

data-science machine-learning python regression scikit-learn

Last synced: 10 Apr 2025

https://github.com/davidrpugh/machine-learning-for-tabular-data

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

google-colab kaggle machine-learning python3 scikit-learn xgboost

Last synced: 17 Aug 2025

https://github.com/jvalegre/robert

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

automation cheminformatics machine-learning python reproducibility scikit-learn workflows