Popular GitHub Repositories for Extrinsic Regression

100 Days of ML Coding

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

The "Python Machine Learning (1st edition)" book code repository and info resource

An open-source, low-code machine learning library in Python

A unified framework for machine learning with time series

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Postgres with GPUs for ML/AI apps.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Plain python implementations of basic machine learning algorithms

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Scalable and user friendly neural :brain: forecasting algorithms.