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/jrieke/traingenerator
🧙 A web app to generate template code for machine learning
deep-learning machine-learning machine-learning-tutorials pytorch pytorch-ignite pytorch-lightning scikit-learn sklearn streamlit template tensorflow webapp website
Last synced: 22 Dec 2024
https://github.com/skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
asset-allocation asset-management convex-optimization cvar-optimization cvxpy efficient-frontier hierarchical-clustering machine-learning portfolio portfolio-optimization quantitative-finance quantitative-investment risk-parity scikit-learn trading-strategies
Last synced: 25 Dec 2024
https://github.com/maxhalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
ca correspondence-analysis factor-analysis famd mca mfa multiple-correspondence-analysis multiple-factor-analysis pandas pca principal-component-analysis procrustes python scikit-learn svd
Last synced: 26 Dec 2024
https://github.com/nok/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
data-science machine-learning scikit-learn sklearn
Last synced: 25 Dec 2024
https://github.com/koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
common-sense machine-learning scikit-learn
Last synced: 24 Dec 2024
https://github.com/reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles
Last synced: 21 Dec 2024
https://github.com/MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
ca correspondence-analysis factor-analysis famd mca mfa multiple-correspondence-analysis multiple-factor-analysis pandas pca principal-component-analysis procrustes python scikit-learn svd
Last synced: 30 Oct 2024
https://github.com/nicodv/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
clustering-algorithm k-modes k-prototypes python scikit-learn
Last synced: 24 Dec 2024
https://github.com/uxlfoundation/scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
ai-inference ai-machine-learning ai-training analytics big-data data-analysis gpu intel machine-learning machine-learning-algorithms oneapi python scikit-learn swrepo
Last synced: 24 Dec 2024
https://github.com/intel/scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
ai-inference ai-machine-learning ai-training analytics big-data data-analysis gpu intel machine-learning machine-learning-algorithms oneapi python scikit-learn swrepo
Last synced: 25 Nov 2024
https://github.com/devamoghs/machine-learning-with-python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
beginner-friendly data-science deep-learning exercises machine-learning practice-project python python-3 scikit-learn
Last synced: 26 Dec 2024
https://github.com/skforecast/skforecast
Time series forecasting with machine learning models
arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm lstm-neural-networks machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series xgboost
Last synced: 21 Dec 2024
https://github.com/devAmoghS/Machine-Learning-with-Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
beginner-friendly data-science deep-learning exercises machine-learning practice-project python python-3 scikit-learn
Last synced: 27 Nov 2024
https://github.com/scottfreellc/alphapy
Python AutoML for Trading Systems and Sports Betting
backtesting classification cryptocurrency data-science deep-learning iex keras machine-learning pandas portfolio predictive-analytics python regression scikit-learn sports stocks time-series-analysis trading trading-platform trading-strategies
Last synced: 20 Dec 2024
https://github.com/ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting
backtesting classification cryptocurrency data-science deep-learning iex keras machine-learning pandas portfolio predictive-analytics python regression scikit-learn sports stocks time-series-analysis trading trading-platform trading-strategies
Last synced: 13 Nov 2024
https://github.com/lensacom/sparkit-learn
PySpark + Scikit-learn = Sparkit-learn
apache-spark distributed-computing machine-learning python scikit-learn
Last synced: 20 Dec 2024
https://github.com/sebp/scikit-survival
Survival analysis built on top of scikit-learn
machine-learning python scikit-learn survival-analysis
Last synced: 24 Dec 2024
https://github.com/inria/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
machine-learning mooc python scikit-learn
Last synced: 26 Dec 2024
https://github.com/sajal2692/data-science-portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
data-science keras machine-learning nlp pandas portfolio python scikit-learn
Last synced: 22 Dec 2024
https://github.com/databricks/spark-sklearn
(Deprecated) Scikit-learn integration package for Apache Spark
apache-spark grid-search machine-learning parameter-tuning scikit-learn
Last synced: 26 Sep 2024
https://github.com/aeon-toolkit/aeon
A toolkit for machine learning from time series
data-mining data-science machine-learning scikit-learn time-series time-series-analysis time-series-anomaly-detection time-series-classification time-series-clustering time-series-regression time-series-segmentation
Last synced: 24 Dec 2024
https://github.com/onnx/onnxmltools
ONNXMLTools enables conversion of models to ONNX
keras machine-learning onnx python-library scikit-learn
Last synced: 24 Dec 2024
https://github.com/microsoft/windows-machine-learning
Samples and Tools for Windows ML.
ai caffe2 coreml deep-learning keras machine-learning ml neural-network onnx pytorch scikit-learn tensorflow windows winmltools
Last synced: 20 Dec 2024
https://github.com/zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
data-science fhe fully-homomorphic-encryption homomorphic-encryption machine-learning ppml privacy python scikit-learn tfhe torch
Last synced: 25 Dec 2024
https://github.com/kartikchugh/otto
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
artificial-intelligence automl chat-application deep-learning keras-tensorflow machine-learning natural-language-understanding python scikit-learn trending-repositories
Last synced: 26 Dec 2024
https://github.com/KartikChugh/Otto
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
artificial-intelligence automl chat-application deep-learning keras-tensorflow machine-learning natural-language-understanding python scikit-learn trending-repositories
Last synced: 01 Nov 2024
https://github.com/dnouri/nolearn
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
deep-learning lasagne machine-learning scikit-learn
Last synced: 26 Dec 2024
https://github.com/dataprofessor/code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
data-professor data-science data-science-python dataprofessor datascience exploratory-data-analysis machine-learning machinelearning pandas python python-data-science r scikit-learn scikit-learn-python shiny streamlit
Last synced: 26 Dec 2024
https://github.com/scikit-multilearn/scikit-multilearn
A scikit-learn based module for multi-label et. al. classification
classification clustering label-prediction machine-learning multi-label partitioning scikit scikit-learn scikit-multilearn
Last synced: 19 Dec 2024
https://github.com/joaquinamatrodrigo/skforecast
Time series forecasting with scikit-learn models
arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series weighted-time-series-forecasting xgboost
Last synced: 10 Oct 2024
https://github.com/trent-b/iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
cross-validation multilabel multilabel-classification scikit-learn stratification
Last synced: 25 Dec 2024
https://github.com/giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
computational-topology machine-learning mapper scikit-learn tda topological-data-analysis topological-machine-learning topology
Last synced: 25 Dec 2024
https://github.com/amodinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
bokeh data-science datacamp datacamp-course datacamp-exercises datacamp-machine-learning datacamp-projects datacamp-python datacamp-solutions-python datascience machinelearning natural-language-processing neural-network neural-networks nlp pandas python scikit-learn tokenization
Last synced: 22 Dec 2024
https://github.com/koaning/human-learn
Natural Intelligence is still a pretty good idea.
benchmark machine-learning scikit-learn
Last synced: 20 Dec 2024
https://github.com/akramz/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
artificial-intelligence deep-learning machine-learning neural-networks notebooks scikit-learn
Last synced: 22 Dec 2024
https://github.com/AmoDinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
bokeh data-science datacamp datacamp-course datacamp-exercises datacamp-machine-learning datacamp-projects datacamp-python datacamp-solutions-python datascience machinelearning natural-language-processing neural-network neural-networks nlp pandas python scikit-learn tokenization
Last synced: 29 Oct 2024
https://github.com/scikit-multiflow/scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River.
machine-learning meka moa scikit scikit-learn stream streaming-data
Last synced: 20 Dec 2024
https://github.com/kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration
deep-learning keras numpy pytorch scattering-transform scikit-learn tensorflow wavelets
Last synced: 26 Dec 2024
https://github.com/seldonio/mlserver
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost
Last synced: 25 Dec 2024
https://github.com/SeldonIO/mlserver
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost
Last synced: 15 Nov 2024
https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 11 Nov 2024
https://github.com/huntermcgushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 22 Dec 2024
https://github.com/smellslikeml/ActionAI
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
classifier edgetpu human-action-recognition human-activity-recognition jetson-nano lstm machinelearning pose-estimation raspberry-pi scikit-learn tensorflow2
Last synced: 06 Nov 2024
https://github.com/trainingbypackt/data-science-projects-with-python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
data-science machine-learning numpy pandas pandas-dataframe python scikit-learn
Last synced: 21 Dec 2024
https://github.com/ashishpatel26/amazing-feature-engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn
Last synced: 20 Dec 2024
https://github.com/elastic/eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
big-data data-analysis dataframe dataframes eland elasticsearch etl lightgbm machine-learning pandas python scikit-learn time-series-forecasting
Last synced: 22 Dec 2024
https://github.com/TrainingByPackt/Data-Science-Projects-with-Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
data-science machine-learning numpy pandas pandas-dataframe python scikit-learn
Last synced: 08 Nov 2024
https://github.com/vzhou842/profanity-check
A fast, robust Python library to check for offensive language in strings.
bag-of-words linear-svm offensive-language profanity profanity-detection profanity-filter profanity-library python3 scikit-learn sklearn
Last synced: 26 Dec 2024
https://github.com/neuraxio/neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 22 Dec 2024
https://github.com/Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
deep-learning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters machine-learning neuraxle parallel pipeline pipeline-framework python-library scikit-learn
Last synced: 05 Nov 2024
https://github.com/sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
deep-learning longitudinal-data machine-learning neural-networks panel-data scikit-learn time-series time-series-classification time-series-forecasting time-series-regression
Last synced: 20 Dec 2024
https://github.com/ysig/grakel
A scikit-learn compatible library for graph kernels
bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn
Last synced: 21 Dec 2024
https://github.com/ysig/GraKeL
A scikit-learn compatible library for graph kernels
bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn
Last synced: 12 Nov 2024
https://github.com/alegonz/baikal
A graph-based functional API for building complex scikit-learn pipelines.
data-science graph-based machine-learning python scikit-learn
Last synced: 15 Nov 2024
https://github.com/openscoring/openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
apache-spark api lightgbm pmml r real-time scikit-learn xgboost
Last synced: 26 Dec 2024
https://github.com/mikeroyal/machine-learning-guide
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
artificial-neural-networks aws-sagemaker deep-learning generative-ai gpt-3 gpt-4 gpt4all image-classification image-processing jax llms machine-learning-library machine-learning-models machinelearning machinelearning-python python pytorch scikit-learn scikitlearn-machine-learning support-vector-machines
Last synced: 21 Dec 2024
https://github.com/onnx/sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
Last synced: 25 Dec 2024
https://github.com/EducationalTestingService/skll
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
hacktoberfest machine-learning python scikit-learn
Last synced: 26 Oct 2024
https://github.com/educationaltestingservice/skll
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
hacktoberfest machine-learning python scikit-learn
Last synced: 26 Dec 2024
https://github.com/autoviml/auto_viml
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost
Last synced: 26 Dec 2024
https://github.com/emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
c classifier embedded-systems inference keras machine-learning microcontroller neural-networks python random-forest scikit-learn sklearn tensorflow tinyml
Last synced: 20 Dec 2024
https://github.com/doubleml/doubleml-for-py
DoubleML - Double Machine Learning in Python
causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn statistics
Last synced: 26 Dec 2024
https://github.com/simonblanke/hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Last synced: 26 Dec 2024
https://github.com/SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Last synced: 05 Nov 2024
https://github.com/ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn
Last synced: 07 Nov 2024
https://github.com/AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
bayesian bayesian-machine-learning machine-learning python scikit-learn
Last synced: 30 Oct 2024
https://github.com/SeldonIO/MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost
Last synced: 30 Oct 2024
https://github.com/AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost
Last synced: 02 Nov 2024
https://github.com/ottogroup/palladium
Framework for setting up predictive analytics services
data-science machine-learning scikit-learn
Last synced: 22 Dec 2024
https://github.com/abess-team/abess
Fast Best-Subset Selection Library
best-subset-selection classification-algorithm cox-regression feature-selection high-dimensional-data linear-regression logistic-regression machine-learning multitask-learning ordinal-regression poisson-regression polynomial-algorithm principal-component-analysis python r robust-principal-component-analysis scikit-learn sparse-principal-component-analysis sure-independence-screening
Last synced: 26 Dec 2024
https://github.com/ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn
Last synced: 27 Sep 2024
https://github.com/henrikbostrom/crepes
Python package for conformal prediction
confidence-intervals conformal-classifiers conformal-prediction conformal-predictive-systems conformal-regressors cumulative-distribution-function jupyter-notebook machine-learning prediction-intervals prediction-sets python quantile-regression regression scikit-learn sklearn uncertainty-quantification
Last synced: 20 Dec 2024
https://github.com/antoinecarme/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
arx automatic-forecasting automl autoregressive benchmark cycle exogenous forecasting hierarchical-forecasting horizon jupyter machine-learning pandas python scikit-learn seasonal signal-decomposition time-series transformation trend
Last synced: 20 Dec 2024
https://github.com/DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn statistics
Last synced: 17 Dec 2024
https://github.com/ploomber/sklearn-evaluation
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
data-science deep-learning jupyter-notebook machine-learning pytorch scikit-learn sklearn tensorflow
Last synced: 26 Dec 2024
https://github.com/chekoduadarsh/blocklyml
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
blockly blockly-games deep-learning hacktoberfest javascript machine-learning pycaret python scikit-learn sklearn tensorflow
Last synced: 22 Dec 2024
https://github.com/skops-dev/skops
skops is a Python library helping you share your scikit-learn based models and put them in production
hacktoberfest huggingface machine-learning mlops scikit-learn
Last synced: 26 Dec 2024
https://github.com/supercowpowers/zat
Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
bro data-analysis kafka networking pandas python scikit-learn security spark zeek zeek-analysis
Last synced: 22 Dec 2024
https://github.com/SuperCowPowers/zat
Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
bro data-analysis kafka networking pandas python scikit-learn security spark zeek zeek-analysis
Last synced: 27 Nov 2024
https://github.com/explainX/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 05 Nov 2024
https://github.com/explainx/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 20 Dec 2024
https://github.com/ClimbsRocks/machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn
Last synced: 27 Nov 2024
https://github.com/climbsrocks/machinejs
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn
Last synced: 22 Dec 2024
https://github.com/georgedouzas/sports-betting
Collection of sports betting AI tools.
machine-learning python scikit-learn sports-analytics sports-betting
Last synced: 20 Dec 2024
https://github.com/operatorai/modelstore
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
data-science keras machine-learning mlops modelstore python-library pytorch s3-storage scikit-learn tensorflow transformer
Last synced: 22 Dec 2024
https://github.com/ptyadana/data-science-and-machine-learning-projects-dojo
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
boosting-algorithms data-analysis data-science data-visualization deep-learning keras machine-learning machine-learning-algorithms natural-language-processing pandas probability-statistics scikit-learn seaborn tensorflow
Last synced: 23 Dec 2024
https://github.com/5hirish/adam_qas
ADAM - A Question Answering System. Inspired from IBM Watson
adam elasticsearch gensim natural-language-processing pandas python question-answering scikit-learn spacy spacy-extension wikipedia
Last synced: 25 Sep 2024
https://github.com/cerlymarco/linear-tree
A python library to build Model Trees with Linear Models at the leaves.
boosting-tree decision-trees linear-models machine-learning model-trees random-forest scikit-learn tree
Last synced: 20 Dec 2024
https://github.com/jadianes/winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
django pandas python recommender-system scikit-learn tutorial wine
Last synced: 22 Dec 2024
https://github.com/omimo/pymo
A library for machine learning research on motion capture data
library machine-learning mocap motion-capture python scikit-learn
Last synced: 24 Dec 2024
https://github.com/jayboxyz/deeplearning-cv-notes
:notebook: DeepLearning and CV notes.
deeplearning matlab matplotlib numpy opencv python scikit-learn tensorflow
Last synced: 23 Dec 2024
https://github.com/krasserm/machine-learning-notebooks
Stanford Machine Learning course exercises implemented with scikit-learn
Last synced: 23 Dec 2024
https://github.com/zhiningliu1998/imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn
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https://github.com/chokkan/mlnote
機械学習帳
matplotlib numpy python pytorch scikit-learn
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https://github.com/ibm/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 20 Dec 2024