There are 25 repositories under regression topic.
Build your neural network easy and fast, 莫烦Python中文教学
Code for Tensorflow Machine Learning Cookbook
An open-source, low-code machine learning library in Python
Statistical Machine Intelligence & Learning Engine
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
mlpack: a scalable C++ machine learning library --
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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
A fast library for AutoML and tuning.
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).
A high-level machine learning and deep learning library for the PHP language.
Machine Learning in R
A Julia machine learning framework
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
MLBox is a powerful Automated Machine Learning python library.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
TensorLy: Tensor Learning in Python.
Concise and beautiful algorithms written in Julia
Tribuo - A Java machine learning library
Owl - OCaml Scientific Computing @ http://ocaml.xyz
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
mlr3: Machine Learning in R - next generation
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Add linear models including instrumental variable and panel data models that are missing from statsmodels.