Popular GitHub Repositories for Hidden Markov Random Field

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Machine learning, in numpy

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Amphion (/?m?fa??n/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

? 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

A python library for decision tree visualization and model interpretation.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

A distributed graph deep learning framework.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

A collection of research papers on decision, classification and regression trees with implementations.

simple neural network library in ANSI C