Convenience class for implementing a REST API
Utilities package containing the CSS utility classes
profile-red-flags — deterministic Hinge, Bumble, and Tinder bio checker for dating-profile triage, profile rewrites, matchmaker intake, and coaching workflows that scores vagueness, pressure, cynicism, inconsistency, and effort before you invest.
Component library mainly for use with the Hinge Health [Marketing Website](https://github.com/hinge-health/marketing-website) and other Hinge Health web properties.
A tiny library to run GPU powered animations in React
Sendbird SDK for JavaScript
An Écoule transform output that creates a HTTP-server from a given key-value output.
A node-based API for Minecraft servers, based on Bukkit
Add Animate CSS as Windi CSS plugin to your project.
A native Ionic 4 rating stars component. Forked from https://github.com/lincond/ionic-rating
empty
Mechanisms that provide physics based and non-physics based linear and angular interactable controls for the Unity software.
Core module for GeoDaLib
a 3d physics library for games and simulations
English | [简体中文](./README_cn-zh.md)
Pipedream Vimeo Components
## Demo
```shell npm install --save-dev scad # npm bun add scad # bun ```
Vue 3 & Nuxt 4 UI kit — Reka UI, Tailwind CSS v4, TypeScript (pre-stable beta; see README).
Github Project: https://github.com/orgs/digital-taco/projects/1/views/1
The React element visual area triggers the animation component
A composable React split-flap display component with realistic 3D flip animation, character cascading, multiple visual styles, and zero dependencies.
library for animations CSS in react with styled-components
Superflows Navigation Component
SQL-native ELT engine — dependency graph resolved automatically from FROM/JOIN clauses, parallel execution, single binary
CLI for hinge — run and plan SQL ELT pipelines from the terminal
A crate for accessing hinge angle sensors on various platforms
Unofficial typed Hinge API client for Rust, with REST, Sendbird chat, and generated OpenAPI docs.
Engine-agnostic robot interpretation layer for Symbios L-Systems using glam.
Lightweight, fast LinearSVC-style crate with Pegasos/DCD solvers, CSR input, OvR/OvO strategies, and optional Platt calibration.
Rigid body physics simulation for CVKG — collision detection, constraint solving, scene graph bridge
Training loops, loss composition, and optimization schedules for TensorLogic
Bevy integration for the Symbios L-System ecosystem.
Large-scale sparse matrix factorization for Rust
an efficient implementation of Partitioned Label Treesand its variations for extreme multi-label classification
Knowledge distillation toolkit for PMetal - KL divergence, hidden state alignment, and offline distillation
Trivial dependency resolver using introspection
GRYDRA v2.0 is a complete, modular Ruby library for building, training, and deploying neural networks. NEW in v2.0: - Complete modular architecture with 29 organized files - Keyword arguments API for better readability - Full implementations (no more "simplified" versions) - 8 loss functions (MSE, MAE, Huber, Cross-Entropy, Hinge, Log-Cosh, Quantile) - 5 optimizers (Adam, SGD, RMSprop, AdaGrad, AdamW) - 6 training callbacks (EarlyStopping, LearningRateScheduler, ReduceLROnPlateau, ModelCheckpoint, CSVLogger, ProgressBar) - Complete LSTM implementation with backpropagation - Complete 2D Convolutional layer with padding and stride - Real PCA with eigenvalue decomposition using Power Iteration - Multiple activation functions (Tanh, ReLU, Leaky ReLU, Sigmoid, Swish, GELU, Softmax) - Regularization (Dropout, L1, L2) - Weight initialization (Xavier, He) - Data normalization (Z-Score, Min-Max) - Comprehensive metrics (MSE, MAE, Accuracy, Precision, Recall, F1, Confusion Matrix, AUC-ROC) - Advanced training (mini-batch, early stopping, learning rate decay, validation split) - Cross-validation and hyperparameter search - Text processing (vocabulary, binary vectorization, TF-IDF) - Model persistence (save/load with Marshal) - Network visualization and gradient analysis - Simplified EasyNetwork interface - 100% backward compatibility with v1.x Perfect for machine learning projects, research, and education in Ruby.
No description provided.
No description provided.