Projects in Awesome Lists tagged with model-selection
A curated list of projects in awesome lists tagged with model-selection .
https://github.com/epistasislab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 12 May 2025
https://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 05 May 2025
https://github.com/EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 14 Mar 2025
https://github.com/districtdatalabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
anaconda estimator machine-learning matplotlib model-selection python scikit-learn visual-analysis visualization visualizer
Last synced: 13 May 2025
https://github.com/DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
anaconda estimator machine-learning matplotlib model-selection python scikit-learn visual-analysis visualization visualizer
Last synced: 14 Mar 2025
https://github.com/rorysroes/sgx-full-orderbook-tick-data-trading-strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Last synced: 15 May 2025
https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Last synced: 24 Mar 2025
https://github.com/deepwisdom/autodl
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow
Last synced: 15 May 2025
https://github.com/DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow
Last synced: 12 May 2025
https://github.com/sberbank-ai-lab/LightAutoML
LAMA - automatic model creation framework
automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox
Last synced: 19 Jul 2025
https://github.com/alteryx/evalml
EvalML is an AutoML library written in python.
automl data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-selection optimization
Last synced: 15 May 2025
https://github.com/smartcorelib/smartcore
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models
Last synced: 14 May 2025
https://github.com/bcg-x-official/facet
Human-explainable AI.
data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics
Last synced: 16 May 2025
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: 14 May 2025
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 Apr 2025
https://github.com/BCG-X-Official/facet
Human-explainable AI.
data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics
Last synced: 08 May 2025
https://github.com/yzkang/My-Data-Competition-Experience
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost
Last synced: 27 Apr 2025
https://github.com/joshspeagle/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
bayesian-inference mit-license model-selection monte-carlo nested-sampling pure-python
Last synced: 04 May 2025
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: 15 May 2025
https://github.com/WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
backtesting cross-validation data-science hyperparameter-optimization machine-learning model-selection time-series tuning-parameters
Last synced: 04 Apr 2025
https://github.com/GenseeAI/cognify
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
agent agentic-workflow agents ai automl autotuning dspy langchain langgraph model-selection optimization prompt-tuning
Last synced: 21 Jul 2025
https://github.com/alex-lekov/automl_alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 05 Apr 2025
https://github.com/Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 13 Jul 2025
https://github.com/genseeai/cognify
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
agent agentic-workflow agents ai automl autotuning dspy langchain langgraph model-selection optimization prompt-tuning
Last synced: 08 Oct 2025
https://github.com/epistasislab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn
Last synced: 09 Apr 2025
https://github.com/christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
anomaly-detection bayesian-inference model-selection probabilistic-programming time-series-analysis
Last synced: 06 Apr 2025
https://github.com/heidelbergcement/hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
cross-validation data-science fbprophet model-selection pmdarima sarimax sklearn sklearn-api sklearn-compatible sklearn-library sktime statsmodels tbats time-series time-series-forecasting transformer wrapper
Last synced: 05 Apr 2025
https://github.com/ingoscholtes/pathpy
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
analysis data data-mining graph graphical-models machine-learning model-selection multi-order network-analysis networks pathways python sequential-data temporal-correlations temporal-networks
Last synced: 25 Sep 2025
https://github.com/JohannesBuchner/UltraNest
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
model-selection monte-carlo nested-sampling parallel-computing python
Last synced: 04 May 2025
https://github.com/johannesbuchner/ultranest
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
model-selection monte-carlo nested-sampling parallel-computing python
Last synced: 05 Apr 2025
https://github.com/tlverse/sl3
💪 🤔 Modern Super Learning with Machine Learning Pipelines
data-science ensemble-learning ensemble-model machine-learning model-selection r r-package regression stacking statistics
Last synced: 19 Feb 2026
https://github.com/automix-llm/automix
Mixing Language Models with Self-Verification and Meta-Verification
few-shot-learning large-language-models model-selection prompting question-answering
Last synced: 08 May 2025
https://github.com/metriculous-ml/metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
classification confusion-matrix data-science deep-learning machine-learning model-comparsion model-evaluation model-selection precision-recall-curve python regression residual-plot roc-curve statistics visual-analysis
Last synced: 17 Oct 2025
https://github.com/maxim5/hyper-engine
Python library for Bayesian hyper-parameters optimization
bayesian-optimization big-data convolutional-neural-networks data-science deep-learning gaussian-processes hyperparameter-optimization machine-learning model-selection neural-network optimization-algorithms python random-search tensorflow
Last synced: 06 Apr 2025
https://github.com/mononitogoswami/tsad-model-selection
Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.
anomaly-detection machine-learning model-selection time-series-analysis unsupervised-learning
Last synced: 26 Mar 2025
https://github.com/bcg-x-official/sklearndf
DataFrame support for scikit-learn.
cross-validation data-science feature-traceability hyper-parameter-tuning machine-learning model-selection pandas-dataframe python
Last synced: 09 Apr 2025
https://github.com/jonigl/mcp-client-for-ollama
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include multi-server, dynamic model switching, streaming responses, tool management, human-in-the-loop, thinking mode, full model parameters configuration, custom system prompt and saved preferences. Built for developers working with local LLMs.
ai command-line-tool generative-ai llm local-llm mcp mcp-client mcp-server model-context-protocol model-parameters-configuration model-selection ollama open-source pypi-package sse stdio terminal-based tool-management
Last synced: 08 Jan 2026
https://github.com/johannesbuchner/bxa
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
model-selection nested-sampling python sherpa spectroscopy x-ray-astronomy xspec
Last synced: 07 May 2025
https://github.com/merliseclyde/BAS
BAS R package for Bayesian Model Averaging and Variable Selection
bayesian bayesian-inference cran generalized-linear-models linear-regression logistic-regression mcmc model-selection poisson-regression predictive-modeling r-package regression variable-selection
Last synced: 14 Mar 2025
https://github.com/bambinos/kulprit
Kullback-Leibler projections for Bayesian model selection in Python
bayesian-inference kullback-leibler-divergence model-selection
Last synced: 07 May 2025
https://github.com/boniolp/msad
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
anomaly-detection anomalydetection benchmark convolutional-neural-networks dataset deep-learning deep-neural-networks feature-based machine-learning model-selection resnet time-series time-series-analysis time-series-classification timeseries transformer
Last synced: 14 Mar 2026
https://github.com/boniolp/MSAD
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
anomaly-detection anomalydetection benchmark convolutional-neural-networks dataset deep-learning deep-neural-networks feature-based machine-learning model-selection resnet time-series time-series-analysis time-series-classification timeseries transformer
Last synced: 26 Mar 2025
https://github.com/config-i1/greybox
Regression model building and forecasting in R
forecasting model-selection model-selection-and-evaluation r-package regression regression-models statistics
Last synced: 22 Oct 2025
https://github.com/astro-informatics/proxnest
Proximal Nested Sampling for high-dimensional Bayesian model selection
bayesian model-selection nested-sampling proximal-algorithms
Last synced: 10 Oct 2025
https://github.com/medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning open-source predictive-modelling python scikit-learn
Last synced: 02 Aug 2025
https://github.com/openmendel/mendeliht.jl
Iterative hard thresholding for l0 penalized regression
genetic-algorithms glm gwas julia model-selection multivariate multivariate-regression regression sparse-linear-solver sparsity
Last synced: 12 Apr 2025
https://github.com/Oxid15/cascade
Lightweight and modular MLOps library targeted at small teams or individuals
experiment-tracking feature-selection machine-learning ml ml-experimentation mlops model-lifecycle model-selection
Last synced: 11 May 2025
https://github.com/csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
ai artificial-intelligence bias-variance-trade bias-variance-tradeoff complexity double-descent information-theory linear-models linear-regression linear-regression-models machine-learning mdl mean-squared-error minimum-description-length model-selection ridge-regression statistics
Last synced: 12 Sep 2025
https://github.com/marcnuth/genetics
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
feature-engineering genetic-algorithm machine-learning model-selection sampling
Last synced: 14 May 2025
https://github.com/dbolya/parc
A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.
deep-learning machine-learning model-selection transfer-learning
Last synced: 11 Jul 2025
https://github.com/contefranz/optop
Optimal topic identification from a pool of Latent Dirichlet Allocation models
latent-dirichlet-allocation lda model-selection natural-language-processing nlp text-mining topic-modeling
Last synced: 05 Apr 2025
https://github.com/ltfschoen/aind-recognizer
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
algorithms artificial-intelligence baum-welch bayesian-information-criterion cross-platform discriminative-criterion feature-selection hidden-markov-models jupyter-notebook model-selection model-training n-grams natural-language-processing pandas-dataframes probabilistic-models python36 sign-language-recognition-system
Last synced: 01 Jul 2025
https://github.com/christophmark/bayesianfridge
Sequential Monte Carlo sampler for PyMC2 models.
inference inference-engine model-selection monte-carlo sequential-monte-carlo
Last synced: 01 Aug 2025
https://github.com/mauricelanghinrichs/abcdez.jl
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
approximate-bayesian-computation bayesian-inference julia likelihood-free marginal-likelihood model-evidence model-selection monte-carlo-methods parameter-estimation posterior-probability statistical-inference
Last synced: 13 Mar 2026
https://github.com/JonasRieger/rollinglda
A rolling version of the Latent Dirichlet Allocation.
consistency latent-dirichlet-allocation lda model-selection reliability text-mining textdata topic-model topic-models topicmodel topicmodeling topicmodelling
Last synced: 30 Jul 2025
https://github.com/contefranz/OpTop
Optimal topic identification from a pool of Latent Dirichlet Allocation models
latent-dirichlet-allocation lda model-selection natural-language-processing nlp text-mining topic-modeling
Last synced: 13 Jul 2025
https://github.com/agoda-com/spark-hpopt
Bayesian hyperparamter tuning for Spark MLLib
hyperparameter-optimization hyperparameter-tuning machine-learning mllib model-selection scala spark
Last synced: 08 Apr 2025
https://github.com/fchamroukhi/samurais
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
artificial-intelligence change-point-detection data-science dynamic-programming em-algorithm hidden-markov-models hidden-process-regression human-activity-recognition latent-variable-models model-selection multivariate-timeseries newton-raphson piecewise-regression statistical-inference statistical-learning time-series-analysis time-series-clustering
Last synced: 22 Oct 2025
https://github.com/boniolp/adecimo
[ICDE 2024] a Web-app for Evaluation of Model selection for Anomaly Detection in Time Series
anomaly-detection deep-learning machine-learning model-selection streamlit streamlit-webapp time-series webapp
Last synced: 10 Oct 2025
https://github.com/fipelle/replication-pellegrino-2022-hyperparameters
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
elastic-net hyperparameter-optimization irregular-time-series jackknife model-selection time-series vector-autoregression
Last synced: 20 Aug 2025
https://github.com/chjackson/fic
R package for focused information criteria for model comparison
model-comparison model-selection statistical-models
Last synced: 22 Oct 2025
https://github.com/lacerbi/infbench
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
approximate-inference benchmark computational-neuroscience model-selection modeling
Last synced: 22 Apr 2025
https://github.com/bartekpog/modelcreator
Simple python package for creating predictive models
automl estimator machine-learning model-selection package predictive-modeling python sklearn
Last synced: 24 Oct 2025
https://github.com/biona001/knockoffs.jl
Variable Selection with Knockoffs
bioinformatics conditional-independence conditional-independence-test false-discovery-rate fdr feature-selection genomics group-knockoffs hypothesis-testing knockoff-filter knockoffs lasso model-selection multiple-knockoffs variable-selection
Last synced: 06 Mar 2026
https://github.com/BartekPog/modelcreator
Simple python package for creating predictive models
automl estimator machine-learning model-selection package predictive-modeling python sklearn
Last synced: 20 Nov 2025
https://github.com/estebanrucan/estyp
ESTYP: Extended Statistical Toolkit Library for Python
estyp glm hypothesis-testing linear-regression machine-learning model-selection python statistical-analysis var-test
Last synced: 07 Mar 2026
https://github.com/seonghobae/kaefa
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
automated-analysis automated-machine-learning automated-reasoning exploratory-data-analysis exploratory-factor-analysis exploratory-ifa factor-analysis machine-unlearning mirt model-selection multilevel-models
Last synced: 04 Apr 2026
https://github.com/inoueakimitsu/wbic_bml
Statistical Causal Inference Library using Bayesian Mixed LiNGAM and WBIC
causal-inference data-science model-selection pymc3 python statistics
Last synced: 07 May 2025
https://github.com/hyiltiz/info
Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.
approximation entropy information-theory logical-fallacies model-selection probabilistic-models python3 statistical-learning toolbox
Last synced: 04 Apr 2025
https://github.com/pakillo/stats-intro
Introduction to statistical inference
experimental-design hypothesis-testing model-selection r rstats statistical-inference statistics teaching-materials
Last synced: 16 Oct 2025
https://github.com/lolab-msm/gleipnir
Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling
bayesian-methods biological-modeling model-selection nested-sampling parameter-estimation python systems-biology
Last synced: 09 May 2025
https://github.com/jasonzhu1313/kagglepipeline
This repository provides commonly used modules from feature engineering to model training for machine learning tasks and kaggle competition.
bayesian-optimization catboost feature-engineering feature-selection kaggle-competition kaggle-elo lightgbm machine-learning model-selection pipeline-as-code recommender-system xgboost
Last synced: 08 Apr 2025
https://github.com/linhaowei1/fine-tuning-scaling-law
🌹[ICML 2024] Selecting Large Language Model to Fine-tune via Rectified Scaling Law
fine-tune language-model llm machine-learning model-selection nlp scaling-laws
Last synced: 28 Feb 2026
https://github.com/ksm26/getting-started-with-mistral
Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).
advanced-coding ai-models api-integration commercial-models effective-prompting embeddings function-calling llm-capabilities machine-learning mistral-ai mixtral-models model-selection open-source-models python-integration rag similarity-search structured-responses web-interface
Last synced: 14 Jul 2025
https://github.com/atredennick/modselr
Data and function bundle for model selection guide for ecologists
ecological-modelling ecology model-selection
Last synced: 14 Mar 2025
https://github.com/yzhao062/algs
An AutoML system for algorithm selection (model selection)
algorithm-selection auto-ml automated-machine-learning machine-learning model-selection python
Last synced: 18 Jul 2025
https://github.com/sushant1827/Predicting-Boston-Housing-Prices
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
boston boston-housing-dataset boston-housing-price-prediction boston-housing-prices complexity-analysis complexity-curve cross-validation decision-tree-regression gridsearchcv housing-prices learning-curve machine-learning matplotlib-pyplot model-complexity model-selection model-validation python regression-models scikit-learn scikitlearn-machine-learning
Last synced: 14 Oct 2025
https://github.com/jkglasbrenner/cds411-course-materials
Course materials for CDS 411: Modeling and Simulation II, offered at George Mason University
cds-411 cellular-automata course-materials data-science george-mason-university jupyter jupyter-notebook model-selection modeling python random-walk scikit-learn simulation stochastic-simulation system-dynamics
Last synced: 16 Jan 2026
https://github.com/walidalsafadi/indians-diabetes
Pima Indians Diabetes - ML Model Selection (83%)
data-preprocessing diabetes-prediction eda model-selection
Last synced: 16 Mar 2025
https://github.com/simonblanke/meta-learn
Metalearning for Hyperparameter Optimization
data-science hyperparameter-optimization machine-learning meta-learning metadata model-selection scikit-learn
Last synced: 04 Mar 2026
https://github.com/vlall/psychopy-active-learner
A library for running Bayesian active model selection on human behavioral experiments
active-learning automation bayesian model-selection numerosity psychopy
Last synced: 17 Jun 2026
https://github.com/xylimeng/d-probability
D-probabilities of parametric models using nonparametric model reference
aggregation bayesian-inference model-comparison model-selection nonparametricbayes
Last synced: 20 Mar 2025
https://github.com/gregorsteiner/givbma.jl
Bayesian Model Averaging in instrumental variable models.
bayesian-statistics causal-inference instrumental-variables model-averaging model-selection
Last synced: 22 Feb 2026
https://github.com/glubbdubdrib/lazygrid
Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
artificial-intelligence cross-validation database grid-search grid-search-hyperparameters keras machine-learning memoization model-comparison model-selection neural-networks openml optimization pipeline python scikit-learn tensorflow
Last synced: 29 Jan 2026
https://github.com/joeylu/runtime-free-llm-integration-skills
Runtime-free skills for coding agents to build fail-fast LLM provider integration, starting with Aliyun Bailian / DashScope.
agent-skills ai-agents aliyun-bailian api-key byok coding-agents dashscope fail-fast llm llm-integration llm-provider model-catalog model-selection runtime-free
Last synced: 01 Jun 2026
https://github.com/mauricelanghinrichs/memocell
Bayesian inference of stochastic cellular processes with and without memory in Python.
bayesian-inference biological-data-analysis biological-modeling dynamical-systems gillespie-algorithm markov-model master-equation model-selection nested-sampling parameter-estimation probabilistic-models python statistical-inference stochastic-models stochastic-processes
Last synced: 13 Apr 2025
https://github.com/jason-cs18/chameleon
Chameleon: An efficient continuous adaptation framework based on NVIDIA TAO.
continuous-learning domain-adaptation model-selection nvidia-tao-toolkit
Last synced: 19 Mar 2026
https://github.com/jszitas/soothsayer
Automatic Time Series Forecasting and Ensembling via Meta-learning
forecasting forecasting-models machine-learning meta-learning model-selection r time-series
Last synced: 17 Oct 2025
https://github.com/chigwell/model-compare
model-compare evaluates AI models side‑by‑side based on user tasks, rating accuracy, creativity, and efficiency to guide model choice.
accuracy ai-language-models capabilities-analysis creativity efficiency informed-decision-making model-comparison model-selection objective-evaluation performance-evaluation scenario-based-comparison side-by-side-evaluation structured-comparison task-specific-analysis text-input
Last synced: 14 Jan 2026
https://github.com/jaydu1/ensemble-cross-validation
Cross-validation methods designed for ensemble learning
cross-validation ensemble-learning model-selection random-forests
Last synced: 21 Jan 2026
https://github.com/jaidevd/scipy-2017-workshop
Material for workshop on model evaluation and selection at SciPy India 2017
feature-engineering machine-learning model-selection sklearn
Last synced: 04 May 2026
https://github.com/praveendecode/us_hpi_prediction
Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends
exploratory-data-analysis feature-engineering feature-importance insights model-building model-selection predictive-modeling python usahpi
Last synced: 01 May 2026
https://github.com/redayzarra/cnn_trafficsigns
This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.
classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection
Last synced: 15 May 2026
https://github.com/amoghkori/google-ads-optimization
Advanced algorithm development for revenue maximization and enhanced conversion value in Google Ads expenditure, achieving a 15% increase in lead conversions while reducing costs
analystics data-cleaning data-modeling data-preprocessing data-visualization data-wrangling exploratory-data-analysis feature-engineering microsoft-excel model-deployment model-selection optimization-algorithms powerbi statistical-analysis
Last synced: 03 Jan 2026
https://github.com/neurodata/autogmm
Python package for automatic Gaussian mixture modeling
gaussian-mixture-models machine-learning model-selection
Last synced: 20 Jan 2026
https://github.com/eggplantbren/andromedamixture
The inference code for our Nature paper about globular clusters in M31/Andromeda.
andromeda astronomy bayesian-inference galaxies galaxy-formation globular-clusters markov-chain-monte-carlo model-comparison model-selection nature
Last synced: 04 Feb 2026
https://github.com/filippomb/cross-validation-tutorial
Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
cross-validation k-fold-cross-validation leave-one-out-cross-validation model-selection stratified-cross-validation supervised-learning
Last synced: 31 Oct 2025
https://github.com/shubhammate013/ml-model_training
Exploratory Data Analysis (EDA) is an approach in data analysis that uses various techniques to maximize insight into a dataset, uncover underlying structure, analyze relationships between variables, detect outliers and anomalies, test underlying assumptions, and feature selection for training Machine Learning models.
exploratory-data-analysis machine-learning-algorithms model-selection python
Last synced: 16 May 2026
https://github.com/adi3042/chest-x-ray-disease_detection_using_cnn
🩺 Chest X-Ray Disease Detection using CNN | Detect diseases from X-ray images with AI 📊🚀 | Features: Preprocessing, CNN architecture, accuracy metrics 💡 | Get Started: Clone & explore! 🖥️✨
chest-xray-images classification cnn-classification deployment disease-detection keras-tensorflow mobilenet model-selection models neural-networks
Last synced: 03 Apr 2025
