mlreef
Gorgonia
Our great sponsors
| mlreef | Gorgonia | |
|---|---|---|
| 4 | 21 | |
| 1,442 | 5,326 | |
| 0.0% | 1.0% | |
| 0.0 | 2.8 | |
| over 1 year ago | 18 days ago | |
| Kotlin | Go | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
mlreef
-
Join the AI4Earth challenge with the European Space Agency to highlight our footprint on Earth using Earth Observation data and Machine Learning
MLReef - https://mlreef.com
-
Open Source Machine Learning platform
Could you take a look at our repo: https://github.com/MLReef/mlreef
- Open Source Machine Learning
- Show HN: MLReef – collaborative Machine Learning platform
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?
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
GoLearn - Machine Learning for Go
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go
tfgo - Tensorflow + Go, the gopher way
datascience - Curated list of Python resources for data science.
goml - On-line Machine Learning in Go (and so much more)
pycm - Multi-class confusion matrix library in Python
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
bayesian - Naive Bayesian Classification for Golang.