goro
gophernotes
| goro | gophernotes | |
|---|---|---|
| 3 | 10 | |
| 369 | 3,769 | |
| 0.3% | 0.5% | |
| 0.0 | 3.0 | |
| about 2 months ago | 6 months ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
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goro
- Goro: A High-level Machine Learning Library for Go
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I'm looking for a Go computer vision package that isn't GoCV.
I've been meaning to try GoML and Goro, the latter being based on Gorgonia. No idea how relevant either are to your needs.
gophernotes
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Go: What We Got Right, What We Got Wrong
https://github.com/gopherdata/gophernotes
I've had this bookmarked for some time and just havent gotten around to it.
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Alternative REPL to "gore"
Gopher Notes Kernel for jupyter notebooks? Could be useful :)
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GoNB, a new Jupyter Notebook Kernel for Go
I started this because gophernotes was not working for another project I'm slowing working on -- it is interpreted, and not up-to-date (generics, etc).
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How To Develop In Go Without Commenting Out?
A go kernel is available at https://github.com/gopherdata/gophernotes
- Is there a program or plugin in that's similar to jupyter notebooks or google collab for Go lang?
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Why Lisp?
> You do know that statically typed languages have REPLs too? Like the ML family, including Haskell.
I do, but that I don't see how that relates to the bit of my post which you've quoted. I certainly didn't claim or imply that REPL and static type systems were mutually exclusive, only that REPLs are a poor substitute for many static analysis tasks.
> And when using something like a Jupyter notebook with a kernel for your compiled language https://github.com/gopherdata/gophernotes you can do similar interactive programming.
Yeah, I'm aware. I operate a large JupyterHub cluster (among many other things) at work. :)
> Lisp REPLs take that a step further, as you interact with and in your whole actually running program.
That sounds nice, but it's too abstract to persuade IMHO.
- Scripting in Go
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I just started learning Go and my senior gave me link of "Learn Go with tests" as a place where i should be learning .... i am finding this thing very complex compared to other tutorials, why so and what should i do?
If you are coming from python,jupyter notebook, gophernotes is a great library to setup your own playground.
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Go+: Go designed for data science
Why can't you just build libraries to make Go a better language for data science? There's already Go support for a Jupyter Notebooks kernel: https://github.com/gopherdata/gophernotes
What are some alternatives?
goml - On-line Machine Learning in Go (and so much more)
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
fullnamematchscore-go - Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
yaegi - Yaegi is Another Elegant Go Interpreter
gold - Reinforcement Learning in Go
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
lgo - Interactive Go programming with Jupyter
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
nyxt - Nyxt - the hacker's browser.
vulkan - Vulkan back-end for Gorgonia (early development)
nbview - View Jupyter Notebooks in your terminal