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: 2024-12-26 00:22:49 UTC
- JSON Representation
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: 22 Dec 2024
https://github.com/superlinear-ai/conformal-tights
π 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: 24 Dec 2024
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: 24 Dec 2024
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: 20 Nov 2024
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: 19 Dec 2024
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: 21 Dec 2024
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: 24 Dec 2024
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: 18 Nov 2024
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: 14 Nov 2024
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: 25 Dec 2024
https://github.com/rickiepark/do-it-dl
<Do it! λ₯λ¬λ μ λ¬Έ> λμμ μ£ΌνΌν° λ ΈνΈλΆ
deep-learning keras machie-learning neural-networks python scikit-learn tensorflow
Last synced: 21 Dec 2024
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: 24 Dec 2024
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: 30 Oct 2024
https://github.com/rickiepark/handson-ml3
<νΈμ¦μ¨ λ¨Έμ λ¬λ 3ν>μ μ£ΌνΌν° λ ΈνΈλΆ μ μ₯μ
deep-learning handson-ml3 keras machine-learning neural-network scikit-learn tensorflow
Last synced: 21 Dec 2024
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: 25 Dec 2024
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: 25 Dec 2024
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: 06 Nov 2024
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: 07 Nov 2024
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: 20 Nov 2024
https://github.com/skekre98/nba-search
flask application designed to explore NBA statistics :basketball:
beautifulsoup4 flask javascript pandas python3 scikit-learn
Last synced: 21 Dec 2024
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: 25 Dec 2024
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: 25 Dec 2024
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: 13 Nov 2024
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: 28 Oct 2024
https://github.com/glemaitre/pyparis-2018-sklearn
PyParis tutorial on machine learning using scikit-learn
data-science machine-learn pandas scikit-learn
Last synced: 01 Nov 2024
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: 26 Dec 2024
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: 23 Nov 2024
https://github.com/scikit-mine/scikit-mine
scikit-mine : pattern mining in Python
datamining minimum-description-length pattern-mining scikit scikit-learn
Last synced: 30 Oct 2024
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: 19 Dec 2024
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: 28 Oct 2024
https://github.com/sdpython/mlinsights
Extends scikit-learn with new models, transformers, metrics, plotting.
algorithms machine-learning python3 scikit-learn
Last synced: 21 Dec 2024
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: 21 Dec 2024
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: 22 Nov 2024
https://github.com/sdpython/mlprodict
Productionize machine learning predictions, with ONNX or without
machine-learning onnx python3 scikit-learn
Last synced: 26 Sep 2024
https://github.com/jianzhnie/AutoTabular
Automatic machine learning for tabular data. β‘π₯β‘
automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost
Last synced: 22 Nov 2024
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: 21 Dec 2024
https://github.com/jianzhnie/autotabular
Automatic machine learning for tabular data. β‘π₯β‘
automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost
Last synced: 06 Dec 2024
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: 10 Oct 2024
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: 24 Dec 2024
https://github.com/apinf/ml-rest
REST API (and possible UI) for Machine Learning workflows
machine-learning python rest-api scikit-learn
Last synced: 20 Nov 2024
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: 25 Dec 2024
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: 27 Oct 2024
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: 05 Nov 2024
https://github.com/maxhumber/bre
βοΈ Building Recommendation Engines
lightfm machine-learning oreilly python scikit-learn
Last synced: 19 Dec 2024
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: 10 Oct 2024
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: 20 Nov 2024
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: 22 Oct 2024
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: 07 Nov 2024
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: 06 Dec 2024
https://github.com/rickiepark/hg-da
<νΌμ 곡λΆνλ λ°μ΄ν° λΆμ with νμ΄μ¬>μ μ½λ μ μ₯μ
data-analysis data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn scipy
Last synced: 24 Dec 2024
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: 22 Nov 2024
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: 18 Nov 2024
https://github.com/crflynn/skranger
scikit-learn compatible Python bindings for ranger C++ random forest library
machine-learning random-forest scikit-learn
Last synced: 20 Dec 2024
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: 13 Oct 2024
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: 11 Oct 2024
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: 16 Nov 2024
https://github.com/paucablop/chemotools
Integrate your chemometric tools with the scikit-learn API π§ͺ π€
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: 23 Dec 2024
https://github.com/bfortuner/computer-vision
Computer vision sabbatical study materials
computer-vision deep-learning jupyter machine-learning opencv pytorch scikit-learn
Last synced: 08 Nov 2024
https://github.com/squlearn/squlearn
scikit-learn interface for quantum algorithms
machine-learning python quantum quantum-computing quantum-machine-learning scikit-learn
Last synced: 31 Oct 2024
https://github.com/ottogroup/dstoolbox
Tools that make working with scikit-learn and pandas easier.
machine-learning pandas scikit-learn
Last synced: 07 Nov 2024
https://github.com/lachhebo/pyclustertend
A python package to assess cluster tendency
cluster-analysis cluster-tendency clustering clustertendency data-science hopkins ivat machine-learning python scikit-learn statistics vat visual-assessment-cluster-tendency
Last synced: 10 Oct 2024
https://github.com/andriymulyar/sklearn-oblique-tree
a python interface to OC1 and other oblique decision tree implementations
cart-linear-combinations decision-tree oblique-classifier-1 oblique-decision-tree oc1 scikit-learn
Last synced: 28 Oct 2024
https://github.com/SamComber/spacv
Spatial cross-validation in Python.
cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science
Last synced: 27 Oct 2024
https://github.com/jaysonsantos/captcha-breaker
A simple machine learning powered captcha breaker
captcha-breaker scikit-image scikit-learn
Last synced: 19 Nov 2024
https://github.com/samcomber/spacv
Spatial cross-validation in Python.
cross-validation data-science geographic-data-science machine-learning python scikit-learn scikitlearn-machine-learning sklearn spatial-data-science
Last synced: 10 Oct 2024
https://github.com/rickiepark/intro_ml_with_python_2nd_revised
<νμ΄μ¬ λΌμ΄λΈλ¬λ¦¬λ₯Ό νμ©ν λ¨Έμ λ¬λ (λ²μκ°μ 2ν)>μ μ½λ μ μ₯μ
machine-learning numpy pandas python scikit-learn
Last synced: 21 Dec 2024
https://github.com/data-science-lab-amsterdam/skippa
SciKIt-learn Pipeline in PAndas
data-science machine-learning pandas pandas-dataframe pipeline preprocessing python scikit-learn sklearn
Last synced: 07 Nov 2024
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: 07 Dec 2024
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: 14 Nov 2024
https://github.com/oroszgy/ScriptingLanguagesCourseMaterials
Python and Lua tutorials
course-materials lua numpy python scikit-learn scripting-language tutorial
Last synced: 27 Nov 2024
https://github.com/raamana/kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
data-science data-structures kernel kernel-functions kernel-methods kernels machine-learning metric-learning mkl multiple-kernel-learning pattern-analysis pattern-recognition scikit-learn svm
Last synced: 07 Nov 2024
https://github.com/oroszgy/scriptinglanguagescoursematerials
Python and Lua tutorials
course-materials lua numpy python scikit-learn scripting-language tutorial
Last synced: 08 Nov 2024
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 Dec 2024
https://github.com/booleanhunter/ml-supervised-learning
A repository to try out Supervised Learning algorithms in Machine Learning
jupyter-notebook machine-learning python python3 scikit-learn
Last synced: 16 Nov 2024
https://github.com/analyticalmonk/kmeans_elbow
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
kmeans kmeans-clustering machine-learning python scikit-learn sklearn
Last synced: 08 Nov 2024
https://github.com/iamhankai/euro2016predictor
Soccer Matches Predictor using Machine Learning
machine-learning scikit-learn soccer
Last synced: 29 Oct 2024
https://github.com/lenguyenthedat/kaggle-for-fun
All my submissions for Kaggle contests that I have been, and going to be participating.
kaggle kaggle-contest mnist neural-network python scikit-learn xgboost
Last synced: 08 Nov 2024
https://github.com/AllenInstitute/mouse_connectivity_models
Python package providing mesoscale connectivity models for mouse.
neuroscience open-science python scikit-learn
Last synced: 12 Nov 2024
https://github.com/palewire/storysniffer
Inspect a URL and estimate if it contains a news story
data-journalism journalism jupyter-notebook machine-learning news nlp python scikit-learn
Last synced: 25 Dec 2024
https://github.com/alleninstitute/mouse_connectivity_models
Python package providing mesoscale connectivity models for mouse.
neuroscience open-science python scikit-learn
Last synced: 09 Dec 2024
https://github.com/pythoncharmers/maxentropy
Maximum entropy and minimum divergence models in Python
bayesian-inference kullback-leibler-divergence maximum-entropy minimum-divergence prior-distribution python scikit-learn
Last synced: 10 Oct 2024
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: 14 Nov 2024
https://github.com/aramis-lab/AD-ML
Framework for the reproducible classification of Alzheimer's disease using machine learning
alzheimer-disease machine-learning neuroimaging python scikit-learn
Last synced: 12 Nov 2024
https://github.com/bpesquet/mlhandbook
(Phased out) My textbook for teaching Machine Learning
deep-learning jupyter-notebook jupyterbook kata keras machine-learning nbgrader numpy python pytorch scikit-learn
Last synced: 13 Nov 2024
https://github.com/raamana/confounds
Conquering confounds and covariates: methods, library and guidance
biostatistics classification combat confound confounding covariates cross-validation deconfounding machine-learning neuroimaging neuroscience regression scikit-learn statistics
Last synced: 07 Nov 2024
https://github.com/gregyjames/aiportfolio
Use AI to generate a optimized stock portfolio
finance numpy pandas portfolio python python3 scikit-learn stock stock-market stocks yahoo
Last synced: 10 Nov 2024
https://github.com/microsoft/augmented-interpretable-models
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
ai artificial-intelligence deep-learning distillation embedding explainability huggingface interpretability language-model large-language-models linear linear-models logistic-regression machine-learning ml neural-network scikit-learn sentiment-classification transformer transparent
Last synced: 07 Oct 2024
https://github.com/apachecn/scipycon-2018-sklearn-tut-zh
:book: [θ―] SciPyCon 2018 Sklearn ζη¨
machine-learning python scikit-learn scipy2018 tutorial
Last synced: 12 Nov 2024
https://github.com/alleninstitute/neuroglia
a Python machine learning library for neurophysiology data
calcium-imaging electrophysiology machine-learning neurophysiology neuroscience nwb open-science python scikit-learn
Last synced: 12 Oct 2024
https://github.com/petronetto/machine-learning-alpine
Alpine Container for Machine Learning
alpine docker jupyter-notebook keras machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow xgboost
Last synced: 09 Nov 2024
https://github.com/curiousily/deploy-keras-deep-learning-model-with-flask
Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine
airbnb deep-learning google-appengine jupyter-notebook keras machine-learning neural-network price-prediction python regression rest-api scikit-learn tensorflow
Last synced: 11 Nov 2024
https://github.com/axegon/sklite-dart
Transpile scikit-learn models to Flutter
Last synced: 10 Nov 2024
https://github.com/pavelkomarov/projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
classification coveralls friedman machine-learning projection-pursuit regression scikit-learn sphinx travis-ci
Last synced: 25 Dec 2024
https://github.com/dataprofessor/youtube
Collection of YouTube videos on data science on the Data Professor YouTube channel.
bioinformatics data-professor data-science data-science-toolbox dataprofessor datascience machine-learning machinelearning python python-data-science r scikit-learn streamlit youtube youtube-channel
Last synced: 11 Oct 2024
https://github.com/Seyed-Ali-Ahmadi/Python-for-Remote-Sensing
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
deep-learning gdal gdal-python gdal-python-libraries hyperspectral-image-classification hyperspectral-imaging lidar lidar-point-cloud machine-learning multispectral-images pdal point-cloud python python-pdal remote-sensing satellite-data satellite-imagery satellite-images scikit-learn spacenet-dataset
Last synced: 15 Nov 2024
https://github.com/rtlee9/serveit
Simple API serving for Python ML models
keras machine-learning machine-learning-api pytorch restful-api scikit-learn tensorflow
Last synced: 27 Oct 2024
https://github.com/8bit-pixies/scikit-feature
feature-selection scikit-learn
Last synced: 31 Oct 2024
https://github.com/sourdoughcat/scikit-feature
feature-selection scikit-learn
Last synced: 09 Dec 2024
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
Last synced: 18 Dec 2024
https://github.com/tirthajyoti/mlr
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
analytics data-analytics data-science linear-regression machine-learning modeling predictive-modeling python regression scikit-learn statiscal-learning statistical-analysis statistics
Last synced: 12 Oct 2024