regression

There are 25 repositories under regression topic.

apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
fp-growth apriori mahchine-leaning naivebayes svm adaboost kmeans svd pca logistic regression recommendedsystem sklearn scikit-learn nlp deeplearning python dnn lstm rnn
Language:Python 33502
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
Language:Jupyter Notebook 6831
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 logistic svm smo knn machine-learning python python3 navie-bayes-algorithm decision-tree adaboost-algorithm regression
Language:Python 6309
nfmcclure / tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
tensorflow tensorflow-cookbook linear-regression neural-network tensorflow-algorithms rnn cnn svm nlp packtpub machine-learning tensorboard classification regression kmeans-clustering genetic-algorithm ode
Language:Jupyter Notebook 6023
pycaret / pycaret
An open-source, low-code machine learning library in Python
data-science citizen-data-scientists python machine-learning pycaret ml gpu time-series regression classification anomaly-detection nlp clustering
Language:Jupyter Notebook 5853
haifengl / smile
Statistical Machine Intelligence & Learning Engine
machine-learning regression clustering manifold-learning nlp visualization classification nearest-neighbor-search interpolation wavelet graph linear-algebra computer-algebra-system multidimensional-scaling deep-learning statistics dataframe data-science genetic-algorithm
Language:Java 5531
BinRoot / TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
tensorflow machine-learning regression convolutional-neural-networks logistic-regression book reinforcement-learning autoencoder linear-regression classification clustering
Language:Jupyter Notebook 4447
MorvanZhou / Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network dqn machine-learning tutorial dropout neural-network
Language:Python 4201
mlpack / mlpack
mlpack: a scalable C++ machine learning library --
machine-learning-library c-plus-plus deep-learning nearest-neighbor-search regression machine-learning hacktoberfest scientific-computing
Language:C++ 4022
orange3
biolab / orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
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
Language:Python 3470
alibaba / Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
machine-learning flink classification clustering regression graph-algorithms xgboost recommender recommender-system feature-engineering statistics kafka data-mining apriori word2vec flink-ml fm flink-machine-learning graph-embedding
Language:Java 3141
mathnet / mathnet-numerics
Math.NET Numerics
math numerics linear-algebra fsharp matrix random mathnet csharp interpolation regression statistics integration fft differentiation
Language:C# 2839
simple-statistics / simple-statistics
simple statistics for node & browser javascript
statistics javascript regression math
Language:JavaScript 2765
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
numpy statistics pandas matplotlib regression scikit-learn classification clustering decision-trees random-forest dimensionality-reduction neural-network deep-learning artificial-intelligence data-science machine-learning k-nearest-neighbours naive-bayes pytest flask
Language:Jupyter Notebook 2400
timeseriesAI / tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
time-series-classification deep-learning fastai pytorch timeseries time-series sequential time-series-analysis transformer cnn rnn state-of-the-art self-supervised classification regression forecasting inceptiontime rocket machine-learning python
Language:Jupyter Notebook 2142
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
math mathematics linear-algebra statistics matrix probability distributions regression numerical-analysis information-theory number-theory vector finance combinatorics algebra php php-library
Language:PHP 2097
microsoft / FLAML
A fast library for AutoML and tuning.
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
Language:Jupyter Notebook 1907
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 yolo2 realtime regression
Language:Jupyter Notebook 1702
RubixML / ML
A high-level machine learning and deep learning library for the PHP language.
machine-learning data-science neural-network analytics php classification clustering regression anomaly-detection deep-learning cross-validation machine-learning-library php-ml php-machine-learning prediction natural-language-processing algorithm php-ai artificial-intelligence ai
Language:PHP 1618
mlr-org / mlr
Machine Learning in R
machine-learning data-science tuning cran r-package predictive-modeling classification regression statistics r survival-analysis imbalance-correction tutorial mlr learners hyperparameters-optimization feature-selection multilabel-classification clustering stacking
Language:R 1574
alan-turing-institute / MLJ.jl
A Julia machine learning framework
machine-learning julia pipelines tuning data-science tuning-parameters predictive-modeling classification regression statistics clustering stacking ensemble-learning pipeline
Language:Julia 1420
orbit
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
Language:Python 1404
Xtra-Computing / thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
c-plus-plus classification cuda gpu libsvm one-class-learning regression
Language:C++ 1401
frombeijingwithlove / dlcv_for_beginners
《深度学习与计算机视觉》配套代码
computer-vision book beginners example deep-learning caffe mxnet pytorch u-net model-fusion gan siamese adversarial unet classification regression segmentation detection generative
Language:Python 1338
MLBox
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
Language:Python 1325
JavierAntoran / Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
deep-learning bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation langevin-dynamics approximate-inference local-reparametrization-trick uncertainty uncertainty-neural-networks out-of-distribution-detection classification regression sgld hmc
Language:Jupyter Notebook 1303
tensorly
tensorly / tensorly
TensorLy: Tensor Learning in Python.
machine-learning tensor decomposition tensor-algebra tensorly tensor-learning python tensor-methods pytorch mxnet jax tensorflow cupy numpy tensor-decomposition tensor-factorization tensor-regression regression
Language:Python 1254
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
Language:Julia 1108
tribuo
oracle / tribuo
Tribuo - A Java machine learning library
classification clustering deep-learning java machine-learning ml nlp regression
Language:Java 1060
owlbarn / owl
Owl - OCaml Scientific Computing @ http://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
Language:OCaml 1015
ScottfreeLLC / AlphaPy
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
machine-learning predictive-analytics classification regression scikit-learn pandas trading stocks sports portfolio cryptocurrency trading-strategies keras data-science python iex deep-learning trading-platform time-series-analysis tensorflow
Language:Python 783
machine-learning-octave
trekhleb / machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
machine-learning octave matlab prediction neural-network neural-networks regression clustering linear-regression
Language:MATLAB 730
mlr3
mlr-org / mlr3
mlr3: Machine Learning in R - next generation
classification data-science machine-learning mlr3 r r-package regression
Language:R 664
TeFuirnever / Machine-Learning-in-Action
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
adaboost decisiontree knn logistic naivebayes regression regression-trees svm
Language:Python 626
ModernDive_book
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
Language:HTML 622
bashtage / linearmodels
Add linear models including instrumental variable and panel data models that are missing from statsmodels.
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
Language:Python 609

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machine-learning data-science classification time-series clustering