general
Gorgonia
Our great sponsors
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
general
-
[D] Looking for open source projects to contribute
I created a dataset of github projects.
Gorgonia
-
Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
-
Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
-
A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
-
[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
-
Most Popular GoLang Frameworks
Website: https://gorgonia.org
-
[D] What framework are you using?
I use Gorgonia.
-
Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
-
Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
poutyne - A simplified framework and utilities for PyTorch
GoLearn - Machine Learning for Go
dataqa - Labelling platform for text using weak supervision.
tfgo - Tensorflow + Go, the gopher way
docarray - Represent, send, store and search multimodal data
goml - On-line Machine Learning in Go (and so much more)
kaggle-environments
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
bayesian - Naive Bayesian Classification for Golang.