All repos — GH Trending Explorer

[NeurIPS 2026] World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Videos

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

shap / shap

A game theoretic approach to explain the output of any machine learning model.

lightgbm-org / LightGBM

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.

catboost / catboost

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.

h2oai / h2o-3

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.

interpretml / interpret

Fit interpretable models. Explain blackbox machine learning.

argyleink / open-props

CSS custom properties to help accelerate adaptive and consistent design.

ceres-solver / ceres-solver

A large scale non-linear optimization library

facebookresearch / nevergrad

A Python toolbox for performing gradient-free optimization

ruucm / shadergradient

Create beautiful moving gradients on Framer, Figma and React

EMI-Group / evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

google-deepmind / optax

Optax is a gradient processing and optimization library for JAX.

johnkorzhuk / grabient

Gradient generator & Palette finder

stanfordmlgroup / ngboost

Natural Gradient Boosting for Probabilistic Prediction

EnzymeAD / Enzyme

High-performance automatic differentiation of LLVM and MLIR.

FluxML / Zygote.jl

21st century AD

kunchenguid / backpass

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

Abhinandan-Kushwaha / react-native-gifted-charts

The most loved library for Bar, Line, Area, Pie, Donut, Stacked Bar, Population Pyramid, Radar, Bubble, Scatter and Candle Stick charts in React Native. Allows 2D, 3D, gradient, animations and live data updates.

kengz / SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

EliverLara / candy-icons

:lollipop: Sweet gradient icons

AlexanderVanhee / Gradia

Make your screenshots ready for all

GradientHQ / symphony-coord

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fxm90 / GradientLoadingBar

⌛️A customizable animated gradient loading bar.

SciML / Optimization.jl

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.

scopewu / qrcode.vue

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.

anup-a / svgwave

SVG Wave is a tiny, free and beautiful SVG gradient waves generator for your next design.

fangvv / UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

perpetual-ml / perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

simpeg / simpeg

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

google / yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

johnmarktaylor91 / torchlens

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.

fxm90 / GradientProgressBar

📊 A customizable gradient progress bar (UIProgressView).

iit-DLSLab / Quadruped-PyMPC

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)

CristianOlivera1 / Aura

Ambient UI gradients built with layered CSS blend modes. Backgrounds that feel like light.

Zihan-Su / Self_Gradient_Forcing_Plus

Autoregressive video generation with decoupled context-writing and denoising parameters, enabling up to 24-hour generation from 5s training windows.

Birfy / agentdescent

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.

zhuang2002 / Self_Gradient_Forcing

Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.

yfyeung / PrunedCTC

Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.

hassenbrahim / GradientCanvas

GradientCanvas is a parallel-processing, auto-scaling render platform for real-time data visualization utilizing a distributed toolkit framework.

Belucking / GradientMempool

A simple GradientMempool Engine for Network Congestion Mitigation.

pedrobalsa / balsa-ui

Agent-native, open-code Vue/React components with independent palettes, themes, and gradient backgrounds.

leochlon / secant

RoPE attention is an exact forward-pass gradient step with softmax intact

Nguems1 / ml-sgd-param-struct-forge

Build Custom Float Struct Factories for ML SGD Params 2026

Abheyjeetkamboj / velo-grade-sim

Simcline-V2 Indoor Cycling Incline Simulator: Smart Arduino Road Gradient Control 2026

Mayrinp / stdlib-js-ml-base-sgd-params-vector-factory

SGD Parameter Struct Factory 2026: Adaptive Floating-Point ML Constructor Toolkit

Optima-CityU / neural-spectral-capacity

NSC measures neural architecture capacity directly from network specifications, without data, gradients, or model instantiation. Its additive structure enables exact architecture optimization under resource budgets in seconds on a CPU.

legritos / tfbert-xla-multigpu

TensorFlow 1.x BERT Training with Multi-GPU Gradient Accumulation XLA Mixed Precision 2026

gradientspace / Cotangent2

Open-Source AI-Accelerated Mesh and Texture Editing, and spiritual successor to Autodesk Meshmixer

Itz-Murali / Color-Pallet

A fast, open-source color toolkit for developers and designers. Explore colors, build palettes and gradients, convert formats and check contrast. Runs entirely in your browser.

kanakkholwal / baby-ui

Animated, accessible, and customizable components for React and Svelte.

hamza01055 / ml-from-scratch

Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.