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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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.

Picasso is a high quality 2D vector graphic rendering library. It support path , matrix , gradient , pattern , image and truetype font.

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

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.

⌛️A customizable animated gradient loading bar.

A Vue component to generate QRCode. QRCode vue supports both Vue 2 and Vue 3. It offers two QR code formats: canvas and svg. Customize QR code size, margins, error correction level, foreground and background colors, logo images, and gradient effects.

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)

A Python toolbox for performing gradient-free optimization

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

Optax is a gradient processing and optimization library for JAX.

A physics-based lighting system for CSS. Define a light source, and every shadow, highlight and surface gradient follows from it — calibrated against Blender raytraces.

Capture every activation and gradient of any PyTorch model — forward and backward — with automatic graph visualization, rich metadata, and live interventions. Works on any architecture, including dynamic and recurrent ones.

ColorfulX is a high-performance library designed for creating vibrant & animated mesh gradient views.

A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)

nix-based continuous integration system

Gradient Bang is an online multiplayer universe where you explore, trade, battle, and collaborate with other players and with LLMs

Generate heatmaps from your Strava export - frequency, pace, heart rate and gradient.

Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.

You don't write AGENTS.md. You train it with gradient descent.