Projects in Awesome Lists tagged with regression

https://github.com/apachecn/ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm

Last synced: 12 May 2025

https://github.com/apachecn/AiLearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm

Last synced: 26 Mar 2025

https://github.com/jack-cherish/machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

adaboost adaboost-algorithm decision-tree knn logistic machine-learning navie-bayes-algorithm python python3 regression smo svm

Last synced: 13 May 2025

https://github.com/pycaret/pycaret

An open-source, low-code machine learning library in Python

anomaly-detection citizen-data-scientists classification clustering data-science gpu machine-learning ml pycaret python regression time-series

Last synced: 12 May 2025

https://github.com/Jack-Cherish/Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

adaboost adaboost-algorithm decision-tree knn logistic machine-learning navie-bayes-algorithm python python3 regression smo svm

Last synced: 18 Apr 2025

https://github.com/morvanzhou/pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 14 May 2025

https://github.com/MorvanZhou/PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 15 Mar 2025

https://github.com/postgresml/postgresml

Postgres with GPUs for ML/AI apps.

ai ann approximate-nearest-neighbor-search artificial-intelligence classification clustering embeddings forecasting knn llm machine-learning ml postgres rag regression sql vector-database

Last synced: 14 May 2025

https://github.com/nfmcclure/tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

classification cnn genetic-algorithm kmeans-clustering linear-regression machine-learning neural-network nlp ode packtpub regression rnn svm tensorboard tensorflow tensorflow-algorithms tensorflow-cookbook

Last synced: 14 May 2025

https://github.com/haifengl/smile

Statistical Machine Intelligence & Learning Engine

classification clustering computer-algebra-system computer-vision data-science dataframe deep-learning genetic-algorithm interpolation linear-algebra llm machine-learning manifold-learning multidimensional-scaling nearest-neighbor-search nlp regression statistics visualization wavelet

Last synced: 13 May 2025

https://github.com/timeseriesai/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 14 May 2025

https://github.com/timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 26 Mar 2025

https://github.com/mlpack/mlpack

mlpack: a fast, header-only C++ machine learning library

c-plus-plus deep-learning hacktoberfest machine-learning machine-learning-library nearest-neighbor-search regression scientific-computing

Last synced: 13 May 2025

https://github.com/biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization

Last synced: 14 May 2025

https://github.com/binroot/tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 14 May 2025

https://github.com/BinRoot/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 20 Mar 2025

https://github.com/morvanzhou/tensorflow-tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

autoencoder classification cnn deep-q-network dqn dropout gan generative-adversarial-network machine-learning neural-network regression rnn tensorflow tensorflow-tutorials tutorial

Last synced: 14 May 2025

https://github.com/MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

autoencoder classification cnn deep-q-network dqn dropout gan generative-adversarial-network machine-learning neural-network regression rnn tensorflow tensorflow-tutorials tutorial

Last synced: 07 May 2025

https://github.com/microsoft/flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 13 May 2025

https://github.com/microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 15 Mar 2025

https://github.com/mathnet/mathnet-numerics

Math.NET Numerics

csharp differentiation fft fsharp integration interpolation linear-algebra math mathnet matrix numerics random regression statistics

Last synced: 04 Oct 2025

https://github.com/alibaba/alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 14 May 2025

https://github.com/alibaba/Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 14 Mar 2025

https://github.com/simple-statistics/simple-statistics

simple statistics for node & browser javascript

javascript math regression statistics

Last synced: 14 May 2025

https://github.com/visualize-ml/book5_essentials-of-probability-and-statistics

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

machine-learning multivariate-statistics pca regression statistics

Last synced: 14 May 2025

https://github.com/tirthajyoti/machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 14 May 2025

https://github.com/shankarpandala/lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

automl classification machine-learning regression

Last synced: 14 May 2025

https://github.com/tirthajyoti/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics

Last synced: 19 Jul 2025

https://github.com/markrogoyski/math-php

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

algebra combinatorics distributions finance information-theory linear-algebra math mathematics matrix number-theory numerical-analysis php php-library probability regression statistics vector

Last synced: 10 May 2025

https://github.com/rubixml/ml

A high-level machine learning and deep learning library for the PHP language.

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 14 May 2025

https://github.com/RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression

Last synced: 20 Mar 2025

https://github.com/javierantoran/bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 15 May 2025

https://github.com/uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series

Last synced: 09 Apr 2025

https://github.com/juliaai/mlj.jl

A Julia machine learning framework

classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters

Last synced: 13 May 2025

https://github.com/JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 01 May 2025

https://github.com/JuliaAI/MLJ.jl

A Julia machine learning framework

classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters

Last synced: 15 Mar 2025

https://github.com/experiencor/keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

convolutional-networks deep-learning realtime regression yolo2

Last synced: 15 May 2025

https://github.com/mlr-org/mlr

Machine Learning in R

classification clustering cran data-science feature-selection hyperparameters-optimization imbalance-correction learners machine-learning mlr multilabel-classification predictive-modeling r r-package regression stacking statistics survival-analysis tuning tutorial

Last synced: 14 May 2025

https://github.com/tensorly/tensorly

TensorLy: Tensor Learning in Python.

cupy decomposition jax machine-learning mxnet numpy python pytorch regression tensor tensor-algebra tensor-decomposition tensor-factorization tensor-learning tensor-methods tensor-regression tensorflow tensorly

Last synced: 13 May 2025

https://github.com/xtra-computing/thundersvm

ThunderSVM: A Fast SVM Library on GPUs and CPUs

c-plus-plus classification cuda gpu libsvm one-class-learning regression

Last synced: 14 May 2025

https://github.com/Xtra-Computing/thundersvm

ThunderSVM: A Fast SVM Library on GPUs and CPUs

c-plus-plus classification cuda gpu libsvm one-class-learning regression

Last synced: 12 Apr 2025

https://github.com/axelderomblay/mlbox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 15 May 2025

https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 26 Apr 2025

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: 14 May 2025

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: 05 May 2025

https://github.com/sb-ai-lab/lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 14 May 2025

https://github.com/mossr/beautifulalgorithms.jl

Concise and beautiful algorithms written in Julia

algorithms decision-making-under-uncertainty julia machine-learning neural-network optimization quine regression reinforcement-learning sorting

Last synced: 14 May 2025

https://github.com/avhz/rustquant

Rust library for quantitative finance.

finance machine-learning math mathematics option-pricing quantitative-finance quantlib regression rust rust-lang statistics stochastic-processes trading

Last synced: 13 May 2025

https://github.com/mossr/BeautifulAlgorithms.jl

Concise and beautiful algorithms written in Julia

algorithms decision-making-under-uncertainty julia machine-learning neural-network optimization quine regression reinforcement-learning sorting

Last synced: 15 Mar 2025

https://github.com/callstack/reassure

Performance testing companion for React and React Native

hacktoberfest performance performance-testing react react-native regression testing

Last synced: 13 May 2025

https://github.com/oracle/tribuo

Tribuo - A Java machine learning library

classification clustering deep-learning java machine-learning ml nlp regression

Last synced: 11 May 2025

https://github.com/scikit-learn-contrib/mapie

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

classification confidence-intervals conformal-prediction data-science python regression sklearn

Last synced: 13 May 2025

https://github.com/scikit-learn-contrib/MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

classification confidence-intervals conformal-prediction data-science python regression sklearn

Last synced: 01 May 2025

https://github.com/owlbarn/owl

Owl - OCaml Scientific Computing @ https://ocaml.xyz

algorithmic-differentation autograd automatic-differentiation gsl linear-algebra machine-learning maths matrix mcmc ndarray neural-network numerical-calculations optimization plotting regression scientific-computing sparse-linear-systems statistical-functions statistics topic-modeling

Last synced: 14 May 2025

https://github.com/nivu/ai_all_resources

A curated list of Best Artificial Intelligence Resources

artificial-intelligence convolutional-neural-networks data-science decision-trees deep-learning gan kmeans knn machine-learning mathematics neural-networks python random-forest regression reinforcement-learning rnn statistics statquest support-vector-machine tensorflow

Last synced: 15 Jun 2025

https://github.com/sb-ai-lab/LightAutoML

Fast and customizable framework for automatic ML model creation (AutoML)

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 08 May 2025

https://github.com/avhz/RustQuant

Rust library for quantitative finance.

finance machine-learning math mathematics option-pricing quantitative-finance quantlib regression rust rust-lang statistics stochastic-processes trading

Last synced: 19 Apr 2025

https://github.com/mlr-org/mlr3

mlr3: Machine Learning in R - next generation

classification data-science machine-learning mlr3 r r-package regression

Last synced: 06 Oct 2025

https://github.com/bashtage/linearmodels

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

asset-pricing between-estimator clustered-standard-errors fama-macbeth first-difference fixed-effects gmm instrumental-variable iv linear-models ols panel panel-data panel-models panel-regression pooled-ols random-effects regression seemingly-unrelated-regression statistical-model

Last synced: 29 Apr 2025

https://bashtage.github.io/linearmodels/

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

asset-pricing between-estimator clustered-standard-errors fama-macbeth first-difference fixed-effects gmm instrumental-variable iv linear-models ols panel panel-data panel-models panel-regression pooled-ols random-effects regression seemingly-unrelated-regression statistical-model

Last synced: 20 Apr 2025

https://github.com/TheAlgorithms/R

Collection of various algorithms implemented in R.

algorithm algorithms classification clustering data-mining datamanipulation education hacktoberfest learning machine-learning practice preprocessing r r-language r-programming regression

Last synced: 29 Jul 2025

https://github.com/aswintechguy/Machine-Learning-Projects

This repository contains mini projects in machine learning with notebook files

classfication jupyter-notebook machine-learning notebook-files python regression

Last synced: 05 May 2025

https://github.com/thealgorithms/r

Collection of various algorithms implemented in R.

algorithm algorithms classification clustering data-mining datamanipulation education hacktoberfest learning machine-learning practice preprocessing r r-language r-programming regression

Last synced: 14 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/trekhleb/machine-learning-octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

clustering linear-regression machine-learning matlab neural-network neural-networks octave prediction regression

Last synced: 04 Apr 2025

https://github.com/YyzHarry/imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

computer-vision healthcare icml icml-2021 imbalance imbalanced-classification imbalanced-data imbalanced-learning imbalanced-regression long-tail natural-language-processing regression

Last synced: 09 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/moderndive/ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

bootstrap-method confidence-intervals data-science data-visualization data-wrangling dplyr ggplot2 hypothesis-testing infer moderndive permutation-test r regression regression-models rstats rstudio statistical-inference tidy tidyverse

Last synced: 15 Mar 2025

https://github.com/kennethleungty/Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

ai artificial-intelligence classification computer-vision data-engineering data-quality data-science deep-learning failed-data-science failed-machine-learning failed-ml fml forecasting machine-learning ml natural-language-processing production recsys regression

Last synced: 04 Apr 2025

https://github.com/kennethleungty/failed-ml

Compilation of high-profile real-world examples of failed machine learning projects

ai artificial-intelligence classification computer-vision data-engineering data-quality data-science deep-learning failed-data-science failed-machine-learning failed-ml fml forecasting machine-learning ml natural-language-processing production recsys regression

Last synced: 11 Oct 2025

https://github.com/anujvyas/machine-learning-projects

This repository consists of all my Machine Learning Projects.

classification clustering deployment google-colab jupyter-notebook machine-learning matplotlib numpy pandas python regression seaborn sklearn

Last synced: 04 Apr 2025

https://github.com/juliastats/glm.jl

Generalized linear models in Julia

data-science glm julia regression statistical-models statistics

Last synced: 14 May 2025

https://github.com/axect/peroxide

Rust numeric library with high performance and friendly syntax

dataframe determinant interpolation jacobian linear-algebra matlab matrix numerical-analysis numerical-integration optimization ordinary-differential-equations peroxide r regression rust rust-numeric-library scientific-computing simd-openblas spline statistics

Last synced: 14 May 2025

https://github.com/Axect/Peroxide

Rust numeric library with high performance and friendly syntax

dataframe determinant interpolation jacobian linear-algebra matlab matrix numerical-analysis numerical-integration optimization ordinary-differential-equations peroxide r regression rust rust-numeric-library scientific-computing simd-openblas spline statistics

Last synced: 10 Apr 2025

https://100.github.io/Cranium/

🤖 A portable, header-only, artificial neural network library written in C99

artificial-neural-networks blas c c99 cblas classification continuous-integration efficient embedded feedforward-neural-network header-only machine-learning matrix neural-network portable regression travis-ci vectorization

Last synced: 18 Nov 2025

https://github.com/100/cranium

🤖 A portable, header-only, artificial neural network library written in C99

artificial-neural-networks blas c c99 cblas classification continuous-integration efficient embedded feedforward-neural-network header-only machine-learning matrix neural-network portable regression travis-ci vectorization

Last synced: 04 Apr 2025

https://github.com/100/Cranium

🤖 A portable, header-only, artificial neural network library written in C99

artificial-neural-networks blas c c99 cblas classification continuous-integration efficient embedded feedforward-neural-network header-only machine-learning matrix neural-network portable regression travis-ci vectorization

Last synced: 04 Apr 2025

https://github.com/JuliaStats/GLM.jl

Generalized linear models in Julia

data-science glm julia regression statistical-models statistics

Last synced: 01 May 2025

https://github.com/evilpsycho/deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

attention bert deep-learning kaggle lstm pytorch regression seq2seq series-prediction time-series-forecasting toturial wavenet

Last synced: 04 Apr 2025

https://github.com/EvilPsyCHo/Deep-Time-Series-Prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

attention bert deep-learning kaggle lstm pytorch regression seq2seq series-prediction time-series-forecasting toturial wavenet

Last synced: 21 Jul 2025

https://github.com/anujvyas/Machine-Learning-Projects

This repository consists of all my Machine Learning Projects.

classification clustering deployment google-colab jupyter-notebook machine-learning matplotlib numpy pandas python regression seaborn sklearn

Last synced: 29 Mar 2025

https://github.com/patrikeh/go-deep

Artificial Neural Network

backpropagation classification deep-learning golang neural-network regression

Last synced: 14 Mar 2025

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: 16 May 2025

https://github.com/easystats/correlation

:link: Methods for Correlation Analysis

bayesian bayesian-correlations biserial cor correlation correlation-analysis correlations easystats gamma gaussian-graphical-models hacktoberfest matrix multilevel-correlations outliers partial partial-correlations r regression robust spearman

Last synced: 14 May 2025

https://github.com/jeffffffli/res-loglikelihood-regression

Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

2d-human-pose 3d-human-pose human-pose-estimation iccv iccv2021 pytorch regression

Last synced: 06 Apr 2025

https://github.com/cszn/SRMD

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

cnn deep-learning denoising image-degradation matconvnet matlab non-blind regression sisr super-resolution

Last synced: 14 Mar 2025

https://github.com/cszn/srmd

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

cnn deep-learning denoising image-degradation matconvnet matlab non-blind regression sisr super-resolution

Last synced: 06 Apr 2025

https://github.com/arjunmann73/Data-Analytics-Projects

:mag_right: Data analysis with real world data sets using Python :mag:

classification datasets machine-learning python regression

Last synced: 10 Apr 2025

https://github.com/gautam-j/machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

ai artificial-intelligence classification machine-learning machine-learning-algorithms python regression sklearn

Last synced: 05 Apr 2025

https://github.com/sajari/regression

Multivariable regression library in Go

go linear-regression regression

Last synced: 16 May 2025

https://github.com/ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

The bookdown version lives here: https://bookdown.org/content/3890

bayesian-inference brms regression rethinking tidyverse

Last synced: 15 Mar 2025

https://github.com/JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

Last synced: 13 Nov 2025

https://github.com/juliastats/multivariatestats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

Last synced: 09 Oct 2025

https://github.com/juliaai/decisiontree.jl

Julia implementation of Decision Tree (CART) and Random Forest algorithms

classification decision-tree julia machine-learning random-forests regression

Last synced: 16 May 2025

https://github.com/brendanartley/regressio

A python library for univariate regression, interpolation, and smoothing.

interpolation python regression smoothing time-series

Last synced: 21 Oct 2025

https://github.com/brendanartley/Regressio

A python library for univariate regression, interpolation, and smoothing.

interpolation python regression smoothing time-series

Last synced: 01 May 2025

https://github.com/skcript/tensorflow-resources

Curated Tensorflow code resources to help you get started with Deep Learning.

ai artificial-neural-networks classification convolutional-networks deep-learning machine-learning prediction regression tensorflow tensorflow-examples tensorflow-resources

Last synced: 14 Oct 2025

https://github.com/nishkarshraj/100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

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