RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
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RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
fonet is a deep neural network package for Go.
HipChat bot written in ruby and eventmachine
High performance gradient boosting for Ruby
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.
:mega: Python library for audio augmentation
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Deploy machine learning models in Ruby (and Rails)
Neural Network for Go.
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A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
Clojure MQTT client
Undo. Redo. Time travel. Take control of your edit history with an interactive timeline, diff previews, taggings, live reloading trees and cleanup functions.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
Search the web and primary sources, read full pages, and check every citation. MCP server for Claude, Cursor, Codex and more. Runs on your machine.
A group of neural-network libraries for functional and mainstream languages
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Ruby Scoring API for PMML
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.
A simple Finite State Machine for Godot
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection