Repository Index

SHAInet - a pure Crystal machine learning library

• neural-network
• machine-learning
• deep-learning
• deep-neural-networks

The V Tensor Library

• v
• hacktoberfest
• autograd
• deep-learning

Hand-gesture recognition on iOS app using CoreML

• ios
• ios11
• swift
• coreml

A tool for automatic phoneme transcription

• speech-recognition
• machine-learning
• acoustic-models
• artificial-intelligence

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

⚡ Open-source software for deep learning-based digital pathology

• deep-learning
• machine-learning
• digital-pathology
• computational-pathology

Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.

• autodiff
• automatic-differentiation
• cross-platform
• deep-learning

Using Machine Learning to predict the type of exercise from movement data

• keras
• tensorflow
• coreml
• googlecloudml

Axon/Myelin segmentation using Deep Learning

• deep-learning
• machine-learning
• myelin
• axon

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

• deep-learning
• deep-neural-networks
• gradient-descent
• automatic-differentiation

A platform independent tensor library with autograd for the JVM

• java
• library
• deep-neural-networks

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

• adversarial-attacks
• graph-convolutional-networks
• graph-neural-networks
• pytorch

Address book for computer vision models.

• opencv
• open-source
• deep-neural-networks
• tensorflow

fonet is a deep neural network package for Go.

• golang
• deep-neural-networks
• machine-learning

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

• beginner-friendly
• beginner-project
• deep-learning
• deep-neural-networks

A Tensorfflow implementation of Attend, Infer, Repeat

• tensorflow
• vae
• neural-networks
• attention-mechanism

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

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

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

Cryptographic Dataset Generation & Modelling Framework

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

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