1,494 skills found · Page 1 of 50
eriklindernoren / ML From ScratchMachine 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.
h2oai / H2o 3H2O 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.
MiniMax-AI / MiniMax 01The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
aksnzhy / XlearnHigh 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.
jump-dev / JuMP.jlModeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
paul-buerkner / Brmsbrms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
robjhyndman / ForecastForecasting Functions for Time Series and Linear Models
bashtage / LinearmodelsAdditional linear models including instrumental variable and panel data models that are missing from statsmodels.
MrYxJ / Calculate Flops.pytorchThe calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
sberbank-ai-lab / LightAutoMLLAMA - automatic model creation framework
qiuzh20 / Gated AttentionThe official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
stan-dev / MathThe Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
JuliaStats / GLM.jlGeneralized linear models in Julia
vincentarelbundock / MarginaleffectsR package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
coin-or / Python MipPython-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
cod3licious / AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
lindeloev / Tests As LinearCommon statistical tests are linear models (or: how to teach stats)
deepseek-ai / LPLBAn early research stage expert-parallel load balancer for MoE models based on linear programming.
rust-or / Good LpLinear Programming for Rust, with a user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.
anassinator / IlqrIterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
