TypeScript SDK for Logit event logging
Logit function.
[n8n](https://n8n.io/) community node for [Logit](https://logit.now) — send workflow events to Logit channels from your automations, with the same concepts as the [Logit TypeScript SDK](https://www.npmjs.com/package/logit) (`logit` on npm).
Create an iterator which evaluates the logit function for each iterated value.
Logit function for a single-precision floating-point number.
a simple logger for auditing your project directory
client side easy logging library
Log everything with style!
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A JavaScript implementation of the logit function
A flexible logging package that supports level-based logging (debug, info, warn, error) and automatic log rotation (daily, weekly, monthly, yearly). Easily configure log levels and rotation to suit your needs.
A colorful logging utility for Node.js application debug
TypeScript Logger
lightweight debug utility
Logitlib is a wrapper around the Logit API. It provides helper methods for doing basic log related ops.
Express simple to use HTTP Logging middleware.
this project is about log some data and props of vue component
Node module implementing addition classes for functionality and to simplify code for maintainability and readability
Visual explainers
lightweight opencv.js
Node module for templating to simplify code for maintainability and readability
Node module to extend fs/file system functionality and simplify code for maintainability and readability
Node module to extend array functionality and simplify code for maintainability and readability
Node module to for commonly needed utility functions
LLM logit masking for TØR-G constrained decoding
Token samplers for large language models
Rust implementation of OpenTSLM using Burn, WGPU, and llama.cpp
Min-cut gating attention operator: dynamic graph-based alternative to softmax attention
Nanochat in Rust
Mechanistic interpretability for language models in Rust, built on candle
KODEGEN.ᴀɪ: SIMD optimization library
Attention mechanisms for ruvector - geometric, graph, and sparse attention
Logger Functionality with File logs
Functional programming utilities for ToRSh tensors
CoreML inference engine for Candle tensors - provides Apple CoreML/ANE integration with real tokenization, safety fixes, and model calibration awareness
ors - onnxruntime bindings for rust
Easily add custom logging abilities to your Ruby or Rails application.
Logit output plugin for Fluentd
A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.
ignis-dl is the deep-learning layer of the Ignis ecosystem: NN modules (Linear, Embedding, LayerNorm, RMSNorm, Dropout), optimizers (SGD/Adam/AdamW), losses, and a transformer stack (multi-head + grouped-query attention, RoPE, SwiGLU, KV cache) with HuggingFace weight loaders (GPT-2, Llama). Loads real GPT-2 and Llama-3.2 checkpoints and matches HuggingFace logits, and trains transformers from scratch — in Ruby, on native Windows. Installing this pulls the whole stack (ignis + ignis-autograd), so it also serves as the meta-gem.
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