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: 2024-11-15 00:26:30 UTC
- JSON Representation
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
Last synced: 10 Oct 2024
https://github.com/bjpcjp/scikit-and-tensorflow-workbooks
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
deep-learning scikit-learn tensorflow tensorflow-tutorials
Last synced: 14 Nov 2024
https://github.com/upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
automated-feature-engineering automl automl-pipeline chatgpt data-enrichment data-science feature-engineering feature-extraction feature-selection features kaggle kaggle-solution large-language-models llm machine-learning open-data open-datasets public-data python-library scikit-learn
Last synced: 13 Oct 2024
https://github.com/rodrigo-arenas/sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
artificial-intelligence automl begginer-friendly contributions-welcome deap evolutionary-algorithms feature-selection featureselection good-first-issue goodfirstissue help-wanted hyperparameter-optimization hyperparameters looking-for-contributors machine-learning model-selection python scikit-learn sklearn up-for-grabs
Last synced: 10 Oct 2024
https://github.com/mikekeith52/scalecast
The practitioner's forecasting library
auto-ml data-science deep-learning easy-to-use forecasting keras lstm machine-learning mase msis pandas python recurrent-neural-networks scikit-learn scikit-learn-python smape time-series vecm
Last synced: 13 Oct 2024
https://github.com/abess-team/skscope
skscope: Sparse-Constrained OPtimization via itErative-solvers
auto-differentiation jax non-convex-optimization nonlinear-optimization python scikit-learn sparsity-optimization
Last synced: 14 Nov 2024
https://github.com/adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
adversarial-learning adversarial-networks dann deep-learning domain-adaptation feature-selection few-shot-learning generalization importance-sampling machine-learning python regularization-parameters scikit-learn tensorflow transfer-learning zero-shot-learning
Last synced: 13 Nov 2024
https://github.com/charles9n/bert-sklearn
a sklearn wrapper for Google's BERT model
bert conll-2003 language-model named-entity-recognition natural-language-processing ner nlp pytorch scikit-learn transfer-learning
Last synced: 02 Nov 2024
https://github.com/Ibotta/sk-dist
Distributed scikit-learn meta-estimators in PySpark
data-science machine-learning ml scikit-learn spark
Last synced: 06 Aug 2024
https://github.com/ibotta/sk-dist
Distributed scikit-learn meta-estimators in PySpark
data-science machine-learning ml scikit-learn spark
Last synced: 13 Oct 2024
https://github.com/microsoft/NimbusML
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
data-science machine-learning ml mlnet nimbusml python scikit-learn
Last synced: 09 Nov 2024
https://github.com/microsoft/nimbusml
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
data-science machine-learning ml mlnet nimbusml python scikit-learn
Last synced: 30 Sep 2024
https://github.com/usnistgov/jarvis
JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ
ai atomistic-simulations dft lammps materials-informatics md mgi pytorch quantum-computing scikit-learn tensorflow vasp
Last synced: 12 Oct 2024
https://github.com/Hydrospheredata/hydro-serving
MLOps Platform
machine-learning models pipelines realtime scikit-learn scoring serverless serving spark tensorflow
Last synced: 27 Oct 2024
https://github.com/aipredict/ai-deployment
关注AI模型上线、模型部署
deploy keras lightgbm mxnet onnx pmml pyspark pytorch scikit-learn spark-ml tensorflow xgboost
Last synced: 30 Oct 2024
https://github.com/anujdutt9/disease-prediction-from-symptoms
Disease Prediction based on Symptoms.
disease-prediction machine-learning pandas python3 scikit-learn scikitlearn-machine-learning
Last synced: 13 Nov 2024
https://github.com/HusseinYoussef/Arabic-OCR
OCR system for Arabic language that converts images of typed text to machine-encoded text.
arabic character-segmentation computer-vision dataset image-processing machine-learning neural-network ocr opencv-python scikit-learn segmentation
Last synced: 03 Nov 2024
https://github.com/joelowj/machine-learning-and-reinforcement-learning-in-finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
coursera finance machine-learning python reinforcement-learning scikit-learn tensorflow tensorflow-examples
Last synced: 12 Nov 2024
https://github.com/jrbadiabo/bet-on-sibyl
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
algorithms beautifulsoup machine-learning machine-learning-algorithms machinelearning predictive-analysis python python-2 scikit-learn selenium sports-stats sportsanalytics web-crawling web-scraping
Last synced: 12 Oct 2024
https://github.com/hayatoy/ml-forex-prediction
Predicting Forex Future Price with Machine Learning
forex-prediction machine-learning ml python scikit-learn
Last synced: 09 Nov 2024
https://github.com/aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
amazon-sagemaker catboost dask delta-lake gensim-word2vec hdbscan-clustering-algorithm huggingface huggingface-transformers lightgbm machine-learning prophet prophet-model pycharm pytorch pytorch-training sagemaker sagemaker-processing scikit-learn tensorflow tensorflow-training
Last synced: 09 Oct 2024
https://github.com/adriangb/scikeras
Scikit-Learn API wrapper for Keras.
data-science deep-learning deep-neural-networks keras machine-learning python scikit-learn tensorflow wrappers
Last synced: 18 Oct 2024
https://github.com/skggm/skggm
Scikit-learn compatible estimation of general graphical models
concentration-graph covariance-matrix ensemble-learning gaussian-graphical-models general-graphical-models graphical-lasso graphical-models machine-learning nonparametric precision-matrix rank-correlation scikit-learn skggm
Last synced: 13 Oct 2024
https://github.com/rickiepark/hg-mldl
<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.
deep-learning keras machine-learning scikit-learn tensorflow
Last synced: 07 Nov 2024
https://github.com/semasuka/credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
binary-classification card credit-card credit-risk-analysis machine-learning numpy pandas python python3 scikit-learn streamlit
Last synced: 01 Nov 2024
https://github.com/pymc-learn/pymc-learn
pymc-learn: Practical probabilistic machine learning in Python
Last synced: 13 Oct 2024
https://github.com/carlomazzaferro/scikit-hts
Hierarchical Time Series Forecasting with a familiar API
exponential-smoothing fbprophet hierarchical-data machine-learning scikit-learn statsmodels time-series time-series-analysis
Last synced: 13 Nov 2024
https://github.com/aramis-lab/clinica
Software platform for clinical neuroimaging studies
ants bids-format brainweb freesurfer fsl machine-learning mrtrix3 neuroimaging neuroscience python scikit-learn spm
Last synced: 12 Nov 2024
https://github.com/nevilparmar11/attendance-management-system-using-face-recognition
Attendance Management system using face recognition.
django dlib dlib-face-detection face-detection face-recognition python python3 scikit-learn
Last synced: 12 Nov 2024
https://github.com/Mishima-syk/py4chemoinformatics
Python for chemoinformatics
cheminformatics chemoinformatics jupyter python rdkit scikit-learn
Last synced: 31 Oct 2024
https://github.com/rickiepark/introduction_to_ml_with_python
도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.
deep-learning machine-learning matplotlib numpy pandas python scikit-learn scipy
Last synced: 30 Sep 2024
https://github.com/milesgranger/gap_statistic
Dynamically get the suggested clusters in the data for unsupervised learning.
cluster cluster-count clustering kmeans python scikit-learn unsupervised unsupervised-learning
Last synced: 13 Nov 2024
https://github.com/ikki407/stacking
Stacked Generalization (Ensemble Learning)
ensemble ensemble-learning prediction scikit-learn stacking xgboost
Last synced: 10 Oct 2024
https://github.com/ocademy-ai/machine-learning
Learn AI together, for free. AI learning and teaching resources for everyone.
ai data-engineering data-science deep-learning jupyter jupyter-notebook machine-learning ml mlops python scikit-learn visualization
Last synced: 08 Nov 2024
https://github.com/rhiever/sklearn-benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
benchmarking machine-learning python scikit-learn
Last synced: 15 Nov 2024
https://github.com/giacbrd/shallowlearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec
Last synced: 13 Oct 2024
https://github.com/giacbrd/ShallowLearn
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec
Last synced: 07 Aug 2024
https://github.com/savan77/Practical-Machine-Learning-With-Python
Machine Learning Tutorials in Python
machine-learning machine-learning-tutorials python scikit-learn tensorflow
Last synced: 07 Aug 2024
https://github.com/nabeel-oz/qlik-py-tools
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
advanced-analytics advanced-analytics-integration analytics clustering data-science deep-learning facebook-prophet fbprophet forecasting hdbscan keras machine-learning predictive-analytics python qlik qlik-oss qlik-sense scikit-learn server-side-extension sklearn
Last synced: 09 Oct 2024
https://github.com/softwareag/nyoka
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
lightgbm machine-learning nyoka pmml pmml-exporter python python-library scikit-learn statsmodels xgboost
Last synced: 13 Nov 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: 15 Nov 2024
https://github.com/basicv8vc/Python-Machine-Learning-zh
Python机器学习,机器学习入门首选。
machine-learning python scikit-learn
Last synced: 14 Nov 2024
https://github.com/pangeo-data/scikit-downscale
Statistical climate downscaling in Python
climate downscaling scikit-learn xarray
Last synced: 13 Oct 2024
https://github.com/arogozhnikov/hep_ml
Machine Learning for High Energy Physics.
boosting-algorithms high-energy-physics machine-learning neural-networks python reweighting-algorithms scikit-learn splot
Last synced: 13 Nov 2024
https://github.com/maxent-ai/converse
Conversational text Analysis using various NLP techniques
callcenter-analysis conversational-ai emotion-recognition huggingface machine-learning nlp nlu pytorch scikit-learn sentiment-analysis spacy speech-to-text text text-mining topic-modeling transformers
Last synced: 01 Nov 2024
https://github.com/omnata-labs/dbt-ml-preprocessing
A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
bigquery dbt redshift scikit-learn snowflake
Last synced: 12 Oct 2024
https://github.com/casact/chainladder-python
Actuarial reserving in Python
actuarial actuary chainladder estimators pandas python reserving scikit-learn
Last synced: 13 Oct 2024
https://github.com/transitive-bullshit/scikit-learn-ts
Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
ai machine-learning ml scikit-learn sklearn sklearn-library
Last synced: 17 Oct 2024
https://github.com/amineHorseman/facial-expression-recognition-svm
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
facial-expression-recognition fer2013 hog hog-features machine-learning python scikit-learn sklearn svm svm-classifier
Last synced: 25 Oct 2024
https://github.com/aminehorseman/facial-expression-recognition-svm
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
facial-expression-recognition fer2013 hog hog-features machine-learning python scikit-learn sklearn svm svm-classifier
Last synced: 10 Oct 2024
https://github.com/cerlymarco/tspiral
A python package for time series forecasting with scikit-learn estimators.
autoregressive-forecasters autoregressive-modeling direct-forecasting exogenous-predictors forecasting multivariate-forecasting multivariate-timeseries python recursive-forecasting scikit-learn time-series timeseries timeseries-forecasting
Last synced: 01 Nov 2024
https://github.com/vanderschaarlab/hyperimpute
A framework for prototyping and benchmarking imputation methods
data-science imputation imputation-algorithm machine-learning machine-learning-prerequisites preprocessing-data python scikit-learn
Last synced: 13 Oct 2024
https://github.com/tvdboom/atom
Automated Tool for Optimized Modelling
automl dagshub data-exploration data-pipeline data-science interactive-visualizations machine-learning mlflow model-predictions modelling python scikit-learn shap visualization
Last synced: 29 Oct 2024
https://github.com/plotly/dash-svm
Interactive SVM Explorer, using Dash and scikit-learn
dash plotly-dash scikit-learn svm
Last synced: 04 Aug 2024
https://github.com/jalajthanaki/credit-risk-modelling
Credit Risk analysis by using Python and ML
credit-risk machine-learning numpy pandas python scikit-learn scipy
Last synced: 07 Nov 2024
https://github.com/tirthajyoti/Interactive_Machine_Learning
IPython widgets, interactive plots, interactive machine learning
analytics animation classification data-science interactive jupyter-notebook machine-learning python regression scikit-learn statistics supervised-learning
Last synced: 07 Aug 2024
https://github.com/tirthajyoti/interactive_machine_learning
IPython widgets, interactive plots, interactive machine learning
analytics animation classification data-science interactive jupyter-notebook machine-learning python regression scikit-learn statistics supervised-learning
Last synced: 01 Nov 2024
https://github.com/scikit-activeml/scikit-activeml
scikit-activeml: Python library for active learning on top of scikit-learn
active-learning machine-learning python scikit-learn
Last synced: 10 Oct 2024
https://github.com/alisonmitchell/stock-prediction
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
beautifulsoup bert gensim huggingface keras-tensorflow machine-learning matplotlib mplfinance nlp nltk numpy pandas plotly python scikit-learn scipy seaborn spacy textblob yfinance
Last synced: 07 Nov 2024
https://github.com/soluto/python-flask-sklearn-docker-template
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
docker flask python scikit-learn sklearn soluto-open-source
Last synced: 26 Sep 2024
https://github.com/dipanjans/nlp_workshop_odsc_europe20
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
deep-learning gensim jupyter-notebook machine-learning natural-language-processing nltk python pytorch scikit-learn spacy tensorflow transfer-learning transformers
Last synced: 14 Oct 2024
https://github.com/rasbt/pydata-chicago2016-ml-tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
machine-learning pydata scikit-learn tutorial
Last synced: 01 Nov 2024
https://github.com/scaleoutsystems/fedn
FEDn: An open framework and a managed platform for real-world federated machine learning.
edge-ai edge-ml federated-learning federated-machine-learning fedml fleet-learning keras-tensorflow pytorch scikit-learn tensorflow
Last synced: 29 Oct 2024
https://scaleoutsystems.github.io/fedn/
FEDn: An open framework and a managed platform for real-world federated machine learning.
edge-ai edge-ml federated-learning federated-machine-learning fedml fleet-learning keras-tensorflow pytorch scikit-learn tensorflow
Last synced: 03 Aug 2024
https://github.com/scitime/scitime
Training time estimation for scikit-learn algorithms
data-science machine-learning python scikit-learn timer
Last synced: 01 Nov 2024
https://github.com/storopoli/ciencia-de-dados
Disciplina de Ciências de Dados da UNINOVE
aprendizagem-de-maquina aprendizagem-profunda ciencia-de-dados data-science deeplearning machinelearning matplotlib pandas python pytorch scikit-learn tensorflow
Last synced: 27 Oct 2024
https://github.com/openscilab/pymilo
PyMilo: Python for ML I/O
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deserialization devops devops-tools machine-learning machine-learning-algorithms ml ml-models-export ml-models-import mlops scikit-learn serialization
Last synced: 04 Aug 2024
https://github.com/bhargavvader/pycobra
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
aggregation classification ensemble-learning machine-learning-algorithms machine-learning-library predictor python-library regression scikit-learn visualisation visualization voronoi-diagram
Last synced: 10 Nov 2024
https://github.com/jakekandell/nba-predict
Predicts Daily NBA Games Using a Logistic Regression Model
data-science logistic-regression model nba nba-analytics nba-prediction nba-stats pandas prediction predictive-modeling python python3 scikit-learn
Last synced: 07 Nov 2024
https://github.com/ChakriCherukuri/mlviz
Visualizations of machine learning models and algorithms
ai bqplot conda-environment data-visualization deep-learning ipywidgets jupyter-notebook machine-learning-algorithms notebook-server scikit-learn tensorflow visualizations voila
Last synced: 04 Nov 2024
https://github.com/chakricherukuri/mlviz
Visualizations of machine learning models and algorithms
ai bqplot conda-environment data-visualization deep-learning ipywidgets jupyter-notebook machine-learning-algorithms notebook-server scikit-learn tensorflow visualizations voila
Last synced: 27 Oct 2024
https://github.com/autoviml/pandas_dq
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
data data-science dataquality dataqualitycheck machine-learning pandas python scikit-learn
Last synced: 14 Nov 2024
https://github.com/petronetto/docker-python-deep-learning
A container for Deep Learning with Python 3
deep-learning docker jupyter keras machine-learning matplotlib mxnet notebook numpy pandas pyhton3 pytorch scikit-learn tensorflow xgboost
Last synced: 09 Nov 2024
https://github.com/sravb/algorithmic-trading
Algorithmic trading using machine learning.
algorithmic-trading data-mining data-science decision-tree google-finance machine-learning matplotlib pandas python scikit-learn scipy stock
Last synced: 07 Nov 2024
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: 27 Oct 2024
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: 28 Oct 2024
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: 01 Nov 2024
https://github.com/cscfi/machine-learning-scripts
Collection of scripts and tools related to machine learning
jupyter-notebooks keras machine-learning notebooks pytorch scikit-learn tensorflow
Last synced: 10 Nov 2024
https://github.com/phausamann/sklearn-xarray
Metadata-aware machine learning.
framework machine-learning scikit-learn xarray
Last synced: 07 Nov 2024
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: 07 Aug 2024
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: 14 Nov 2024
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: 12 Nov 2024
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: 10 Oct 2024
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: 01 Nov 2024
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: 27 Oct 2024
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: 09 Nov 2024
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: 07 Aug 2024
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: 13 Nov 2024
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: 10 Oct 2024
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: 06 Nov 2024
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 Oct 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: 13 Oct 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: 31 Oct 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: 13 Nov 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: 05 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/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: 13 Oct 2024
https://github.com/habedi/practicalmachinelearning
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
anomaly-detection artificial-intelligence 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: 11 Nov 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/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: 14 Nov 2024