Repository Index

A multilayer perceptron network implemented in Go, with training via backpropagation.

👩‍💻 Matrix and other math, accelerated by WebGPU and WASM

• webgpu
• deno
• matrix
• machine-learning

A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.

• lua
• machine-learning
• neovim
• neovim-plugin

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

• deep-learning-library
• dynamic-batching
• nlp

ROS wrapper for NCNN neural inference framework

Speed up your Neural Network with Theano and the GPU

A feedforward neural network implementation for JRuby

• neural-network
• machine-learning
• jruby

Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding

• keras
• keras-neural-networks
• pascal
• delphi

A Swift PlaygroundBook about Neural Networks

• wwdc19
• wwdc-scholarship
• machine-learning
• playgroundbook

Golang Neural Network

• golang
• neural-network
• machine-learning
• perceptron

Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

• neural-network
• blackbox
• iclr
• reverse-engineering

AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.

• algorithmic-trading
• lightgbm
• machine-learning
• trading-bot

My algorithmic trading strategies with the Gekko cryptocurrency trading bot.

• gekko-strategies
• trading-strategies
• machine-learning-algorithms
• neural-networks

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

A Python toolkit for quantum 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

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network

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