Topic: regression Goto Github

👇 Here are 6276 public repositories matching this topic...

alibaba / alink
regression,Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Organization: alibaba
machine-learning flink classification clustering regression graph-algorithms xgboost recommender recommender-system feature-engineering

apachecn / ailearning
regression,AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Organization: apachecn
Home Page: http://ailearning.apachecn.org/
fp-growth apriori mahchine-leaning naivebayes svm adaboost kmeans svd pca logistic

aswintechguy / machine-learning-projects
regression,This repository contains mini projects in machine learning with notebook files
User: aswintechguy
machine-learning python jupyter-notebook classfication regression notebook-files

avhz / rustquant
regression,Rust library for quantitative finance.
User: avhz
Home Page: https://avhz.github.io
finance math mathematics quantitative-finance rust rust-lang quantlib machine-learning option-pricing regression

axelderomblay / mlbox
regression,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction

bashtage / linearmodels
regression,Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
User: bashtage
Home Page: https://bashtage.github.io/linearmodels/
iv instrumental-variable panel regression statistical-model ols gmm fixed-effects random-effects between-estimator first-difference clustered-standard-errors pooled-ols linear-models panel-data panel-models panel-regression fama-macbeth asset-pricing seemingly-unrelated-regression

binroot / tensorflow-book
regression,Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
User: binroot
Home Page: http://www.tensorflowbook.com
tensorflow machine-learning regression convolutional-neural-networks logistic-regression book reinforcement-learning autoencoder linear-regression classification clustering

biolab / orange3
regression,🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Organization: biolab
Home Page: https://orangedatamining.com
data-mining data-science machine-learning data-visualization orange python scikit-learn numpy scipy pandas decision-trees clustering visualization orange3 random-forest plotting classification regression visual-programming

callstack / reassure
regression,Performance testing companion for React and React Native
Organization: callstack
Home Page: https://callstack.github.io/reassure/
performance performance-testing react react-native regression testing hacktoberfest

experiencor / keras-yolo2
regression,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).
User: experiencor
convolutional-networks deep-learning yolo2 realtime regression

haifengl / smile
regression,Statistical Machine Intelligence & Learning Engine
User: haifengl
Home Page: https://haifengl.github.io
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

jack-cherish / machine-learning
regression,: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
User: jack-cherish
Home Page: https://cuijiahua.com/blog/ml/
adaboost logistic svm smo knn machine-learning python python3 navie-bayes-algorithm decision-tree

javierantoran / bayesian-neural-networks
regression,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
deep-learning bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation

juliaai / mlj.jl
regression,A Julia machine learning framework
Organization: juliaai
Home Page: https://juliaai.github.io/MLJ.jl/
machine-learning julia pipelines tuning data-science tuning-parameters predictive-modeling classification regression statistics

kennethleungty / failed-ml
regression,Compilation of high-profile real-world examples of failed machine learning projects
User: kennethleungty
Home Page: https://towardsdatascience.com/when-ai-goes-astray-high-profile-machine-learning-mishaps-in-the-real-world-26bd58692195
ai artificial-intelligence data-science deep-learning machine-learning ml failed-ml computer-vision data-engineering data-quality

markrogoyski / math-php
regression,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
User: markrogoyski
math mathematics linear-algebra statistics matrix probability distributions regression numerical-analysis information-theory

mathnet / mathnet-numerics
regression,Math.NET Numerics
Organization: mathnet
Home Page: http://numerics.mathdotnet.com
csharp differentiation fft fsharp integration interpolation linear-algebra math mathnet matrix numerics random regression statistics

microsoft / flaml
regression,A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Organization: microsoft
Home Page: https://microsoft.github.io/FLAML/
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn

mlpack / mlpack
regression,mlpack: a fast, header-only C++ machine learning library
Organization: mlpack
Home Page: https://www.mlpack.org/
machine-learning-library c-plus-plus deep-learning nearest-neighbor-search regression machine-learning hacktoberfest scientific-computing

mlr-org / mlr
regression,Machine Learning in R
Organization: mlr-org
Home Page: https://mlr.mlr-org.com
machine-learning data-science tuning cran r-package predictive-modeling classification regression statistics r

mlr-org / mlr3
regression,mlr3: Machine Learning in R - next generation
Organization: mlr-org
Home Page: https://mlr3.mlr-org.com
machine-learning data-science classification regression r mlr3 r-package

moderndive / moderndive_book
regression,Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Organization: moderndive
Home Page: https://www.moderndive.com/
moderndive data-science tidyverse statistical-inference r ggplot2 infer hypothesis-testing confidence-intervals regression

morvanzhou / pytorch-tutorial
regression,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
neural-network python pytorch-tutorial batch-normalization cnn rnn autoencoder pytorch regression classification

morvanzhou / tensorflow-tutorial
regression,Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/tensorflow/
tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network

mossr / beautifulalgorithms.jl
regression,Concise and beautiful algorithms written in Julia
User: mossr
algorithms machine-learning optimization sorting quine julia reinforcement-learning decision-making-under-uncertainty regression neural-network

nfmcclure / tensorflow_cookbook
regression,Code for Tensorflow Machine Learning Cookbook
User: nfmcclure
Home Page: https://www.packtpub.com/big-data-and-business-intelligence/tensorflow-machine-learning-cookbook-second-edition
tensorflow tensorflow-cookbook linear-regression neural-network tensorflow-algorithms rnn cnn svm nlp packtpub

nivu / ai_all_resources
regression,A curated list of Best Artificial Intelligence Resources
User: nivu
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn

oracle / tribuo
regression,Tribuo - A Java machine learning library
Organization: oracle
Home Page: https://tribuo.org
machine-learning java deep-learning classification regression clustering nlp ml

owlbarn / owl
regression,Owl - OCaml Scientific Computing @ https://ocaml.xyz
Organization: owlbarn
matrix linear-algebra ndarray statistical-functions topic-modeling regression maths gsl plotting sparse-linear-systems

postgresml / postgresml
regression,Postgres with GPUs for ML/AI apps.
Organization: postgresml
Home Page: https://postgresml.org
ml machine-learning ai ann artificial-intelligence classification embeddings javascript knn llm

pycaret / pycaret
regression,An open-source, low-code machine learning library in Python
Organization: pycaret
Home Page: https://www.pycaret.org
data-science citizen-data-scientists python machine-learning pycaret ml gpu time-series regression classification

rubixml / ml
regression,A high-level machine learning and deep learning library for the PHP language.
Organization: rubixml
Home Page: https://rubixml.com
machine-learning data-science neural-network analytics php classification clustering regression anomaly-detection deep-learning

sb-ai-lab / lightautoml
regression,Fast and customizable framework for automatic ML model creation (AutoML)
Organization: sb-ai-lab
Home Page: https://developers.sber.ru/portal/products/lightautoml
automl data-science machine-learning python automated-machine-learning automatic-machine-learning automl-algorithms binary-classification kaggle lama

sberbank-ai-lab / lightautoml
regression,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama

scikit-learn-contrib / mapie
regression,A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
Organization: scikit-learn-contrib
Home Page: https://mapie.readthedocs.io/en/latest/
regression confidence-intervals data-science python sklearn classification conformal-prediction

scottfreellc / alphapy
regression,Python AutoML for Trading Systems and Sports Betting
Organization: scottfreellc
machine-learning predictive-analytics classification regression scikit-learn pandas trading stocks sports portfolio

shankarpandala / lazypredict
regression,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
User: shankarpandala
machine-learning automl regression classification

simple-statistics / simple-statistics
regression,simple statistics for node & browser javascript
Organization: simple-statistics
Home Page: https://simple-statistics.github.io/
statistics javascript regression math

tefuirnever / machine-learning-in-action
regression,⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
User: tefuirnever
Home Page: https://blog.csdn.net/tefuirnever
knn decisiontree naivebayes logistic svm adaboost regression regression-trees

tensorly / tensorly
regression,TensorLy: Tensor Learning in Python.
Organization: tensorly
Home Page: http://tensorly.org
machine-learning tensor decomposition tensor-algebra tensorly tensor-learning python tensor-methods pytorch mxnet

thealgorithms / r
regression,Collection of various algorithms implemented in R.
Organization: thealgorithms
algorithms r education machine-learning practice learning preprocessing regression data-mining clustering

timeseriesai / tsai
regression,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
Organization: timeseriesai
Home Page: https://timeseriesai.github.io/tsai/
time-series-classification deep-learning fastai pytorch timeseries time-series sequential time-series-analysis transformer cnn

tirthajyoti / machine-learning-with-python
regression,Practice and tutorial-style notebooks covering wide variety of machine learning techniques
User: tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
numpy statistics pandas matplotlib regression scikit-learn classification clustering decision-trees random-forest

trekhleb / machine-learning-octave
regression,🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
User: trekhleb
clustering linear-regression machine-learning matlab neural-network neural-networks octave prediction regression

uber / orbit
regression,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Organization: uber
Home Page: https://orbit-ml.readthedocs.io/en/stable/
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast

visualize-ml / book5_essentials-of-probability-and-statistics
regression,Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
User: visualize-ml
machine-learning multivariate-statistics pca regression statistics

xtra-computing / thundersvm
regression,ThunderSVM: A Fast SVM Library on GPUs and CPUs
Organization: xtra-computing
classification regression one-class-learning cuda c-plus-plus gpu libsvm

yangheng95 / pyabsa
regression,Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
User: yangheng95
Home Page: https://pyabsa.readthedocs.io
aspect-based-sentiment-analysis aspect-term-extraction lcf-bert pytorch pyabsa adversarial regression aspect-sentiment-triplet-extraction

yeyun111 / dlcv_for_beginners
regression,《深度学习与计算机视觉》配套代码
User: yeyun111
Home Page: https://frombeijingwithlove.github.io/dlcv_for_beginners/
computer-vision book beginners example deep-learning caffe mxnet pytorch u-net model-fusion

yyzharry / imbalanced-regression
regression,[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
User: yyzharry
Home Page: http://dir.csail.mit.edu
imbalanced-data imbalanced-learning imbalanced-classification imbalance regression long-tail imbalanced-regression icml icml-2021 computer-vision