Repository Index

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

• single-cell
• scrna-seq
• scatac-seq
• deep-neural-networks

ruby-dnn is a ruby deep learning library.

• ruby
• machine-learning
• deep-learning
• deep-neural-networks

Cryptographic Dataset Generation & Modelling Framework

• cryptography
• deep-learning
• deep-neural-networks
• machine-learning

Artificial Neural Networks (ANN's) in Ruby (unmaintained, unfortunately)

• neural-network
• ann
• ruby

Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.

• autograd
• compiler
• deep-learning
• golang

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

• image-processing
• images
• image-analysis
• deep-learning

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 !

• neural-networks

Generate a summarized description of a body of text

• machine-learning
• docker-image
• deep-neural-networks
• tensorflow-models

Profile your Tensorflow Lite model on-device

• android
• kotlin
• tensorflow
• tensorflowlite

Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.

• tensorflow
• tensorflow2
• watermarking
• neural-network

Tool for suggesting lemma names in Coq verification projects

• coq
• machine-learning
• name-generation
• pytorch

Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105

MXNet (AI/ML) bindings for the Crystal language.

• crystal
• mxnet
• deep-learning
• machine-learning

Workbench for practical machine learning in Ruby.

• machine-learning
• machine-learning-algorithms
• neural-network
• neural-networks

Example of creating and using a Neural Network in Ruby

• rubyml

Prototype of an intelligent safety system for detecting driver drowsiness

• cpp
• cuda
• cudnn
• driver-drowsiness-detector

A neural networks library for Clojure

• clojure
• machine-learning
• deep-learning
• neural-network