regression

There are 35 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 41680
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
Language:Python 10042
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
Language:Jupyter Notebook 9580
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 8368
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
Language:Rust 6617
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
Language:Java 6289
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
Language:Jupyter Notebook 6253
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
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 5857
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
Language:C++ 5523
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 5462
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
Language:Jupyter Notebook 4446
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
Language:Python 4351
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn deep-learning natural-language-processing natural-language-generation timeseries-forecasting classification regression tuning finetuning tabular-data
Language:Jupyter Notebook 4238
mathnet / mathnet-numerics
Math.NET Numerics
csharp differentiation fft fsharp integration interpolation linear-algebra math mathnet matrix numerics random regression statistics
Language:C# 3684
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 3615
simple-statistics / simple-statistics
simple statistics for node & browser javascript
javascript math regression statistics
Language:JavaScript 3485
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
Language:Jupyter Notebook 3472
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
Language:Jupyter Notebook 3273
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
Language:Python 3251
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
Language:PHP 2395
RubixML / ML
A high-level machine learning and deep learning library for the PHP language.
analytics anomaly-detection classification clustering deep-learning machine-learning natural-language-processing php regression
Language:PHP 2170
orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast orbit time-series regression arima changepoint bayesian-methods bayesian-statistics machine-learning regression-models pytorch
Language:Python 2012
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 1934
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
Language:Julia 1880
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 1735
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 1668
tensorly
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
Language:Python 1639
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
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 backtesting
Language:Python 1626
Xtra-Computing / thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
classification regression one-class-learning cuda c-plus-plus gpu libsvm
Language:C++ 1615
RustQuant
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
Language:Rust 1562
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction distributed xgboost drift classification regression lightgbm keras automated-machine-learning automl data-science
Language:Python 1522
scikit-learn-contrib / MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
regression confidence-intervals data-science python sklearn classification conformal-prediction
Language:Jupyter Notebook 1484
yeyun111 / 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 1475
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automl data-science machine-learning python automated-machine-learning automatic-machine-learning automl-algorithms binary-classification kaggle lama multiclass-classification nlp regression
Language:Python 1432
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 1407
reassure
callstack / reassure
Performance testing companion for React and React Native
hacktoberfest performance performance-testing react react-native regression testing
Language:TypeScript 1394