Research experiments exploring uncommon quant techniques.
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Research experiments exploring uncommon quant techniques.
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The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
A feedforward neural network implementation for JRuby
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
TranslatedTurn ideas into motion graphics and animated videos with Claude or Codex.
Simple Naive Bayes classifier
🌊 Floom, "The K8s for AI", orchestrates & executes Generative AI pipelines, Empowering Developers and DevOps to focus on what matters.
The repository host gives no description.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
Data and code for "When (ish) is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems" (CHI 2016)
Predicting Cell Health with Morphological Profiles
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.
Ruby gem to calculate statistics from text to determine readability, complexity and grade level of a particular corpus.
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Artificial Neural Networks (ANN's) in Ruby (unmaintained, unfortunately)
This is the github repository for converting craft pretrained model to tflite version
Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !