FANN (Fast Artifical Neural Network) binding in Crystal
- fann
- neural-network
- machine-learning
- crystal
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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.
Find the first broken commit without having to learn git bisect
Learn Advanced React Hooks workshop
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
:mega: Python library for audio augmentation
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
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.
A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
Let's learn Algorand!
- algorand
- beaker
- blockchain
- cryptocurrency
This is a UI addon that intends to help standardize the Ember family of websites and make it easier to make the Ember website an Ember app.
- ember
- emberjs
- ember-addon
- hacktoberfest
A little tutorial written in Swift playgrounds to learn about transducers.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
- machine-learning
- lisp
- clojure
This training kit has been developed to learn the basics of Backbone.JS.
- backbone-marionette
- backbone
- training-kit
- javascript
Ember API Docs viewer
- emberjs
- ember
- api-documentation
- hacktoberfest
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics