#Regression
Showing 60 of 167 repositories tagged #regression, ranked by stars
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
: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
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Build your neural network easy and fast, 莫烦Python中文教学
Postgres with GPUs for ML/AI apps.
Statistical Machine Intelligence & Learning Engine
Code for Tensorflow Machine Learning Cookbook
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
mlpack: a fast, header-only C++ machine learning library
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A high-level machine learning and deep learning library for the PHP language.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
A Julia machine learning framework
Rust library for quantitative finance.
Python AutoML for Trading Systems and Sports Betting
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).
TensorLy: Tensor Learning in Python.
Machine Learning in R
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
MLBox is a powerful Automated Machine Learning python library.
《深度学习与计算机视觉》配套代码
A curated list of Best Artificial Intelligence Resources
Fast and customizable framework for automatic ML model creation (AutoML)
Performance testing companion for React and React Native
Concise and beautiful algorithms written in Julia
Tribuo - A Java machine learning library
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Collection of various algorithms implemented in R.
mlr3: Machine Learning in R - next generation
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
LAMA - automatic model creation framework
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Compilation of high-profile real-world examples of failed machine learning projects
This repository consists of all my Machine Learning Projects.
Rust numeric library with high performance and friendly syntax
Generalized linear models in Julia
🤖 A portable, header-only, artificial neural network library written in C99
Python package for conformal prediction
Artificial Neural Network
Examples of Data Science projects and Artificial Intelligence use-cases
Compendium of free ML reading resources
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
Multivariable regression library in Go
Implementation of different ML Algorithms from scratch, written in Python 3.x
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Functional Data Analysis Python package
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:
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python