Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- biology
- fluorescence
- image-analysis
- image-processing
Repository Index
47,133 repositories indexed
1,177–1,200 of 1,352 · Most stars
A simplistic Neural Network Library in Go
- neural-network
- golang
- go
- machine-learning
Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.
- malware
- pe-malware
- malware-dataset
- malware-research
Curated List of AI, ML and Deep Learning books
🔍 A step-by-step guide to parsing using Haskell parser combinators.
Learning the functional paradigm with js
Examples of Tensorflow Lite on Android
- tensorflow
- tensorflow-lite
- kotlin-android
- android
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Effects of packers on machine-learning-based malware classifiers that use only static analysis
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
- deep-learning
- delphi
- machine-learning
- pascal
A neural network framework (with autograd!) for object pascal 🧠
- machine-learning
- neural-network
- object-pascal
- pascal
FANN (Fast Artifical Neural Network) binding in Crystal
- fann
- neural-network
- machine-learning
- crystal
Address book for computer vision models.
- opencv
- open-source
- deep-neural-networks
- tensorflow
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
fonet is a deep neural network package for Go.
High performance gradient boosting for Ruby
- machine-learning
- lightgbm
- rubyml
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
Build a simple turn-based game to learn how to write production code using Hexagonal Architecture. Onboarding reference for Haraj Solutions Team.
- reference-implementation
- hexagonal-architecture
- go
- golang-examples
: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.
- lda
- multilingual
- machine-learning
- latent-dirichlet-allocation
Deploy machine learning models in Ruby (and Rails)
Neural Network for Go.
The repository host gives no description.
- rubyml
- machine-learning
- ruby
- ml
A curated list of awesome work on video generation and video representation learning, and related topics.