backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell (by mstksg)
applied-fp-course
Applied Functional Programming Course - Move from exercises to a working app! (by qfpl)
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backprop | applied-fp-course | |
---|---|---|
2 | 6 | |
177 | 621 | |
- | 1.0% | |
3.8 | 1.6 | |
6 months ago | 5 months ago | |
Haskell | Haskell | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
backprop
Posts with mentions or reviews of backprop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-17.
applied-fp-course
Posts with mentions or reviews of applied-fp-course.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-08.
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Are you interested in a 'Haskell in depth' reading group?
Yes. Also interested in working through Sandy Maguire's Algebra-Driven Design and https://github.com/qfpl/applied-fp-course if anyone else is interested.
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Next Step After Haskell Programming from First Principles
I would suggest the QFPL's "Applied FP Course": https://github.com/qfpl/applied-fp-course (disclaimer: I helped write it).
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So I've finished _Hask ell Programming from First Principles_. What's next?
Have a crack at https://github.com/qfpl/applied-fp-course , which takes you through building a small HTTP API from barebones wai upward, using realistic coding patterns. I helped write it so I'm a bit biased, but I think it's good. When QFPL ran the course in-person, students would get so engrossed that we'd have to drag them away from their computers otherwise they'd miss out on the free lunches. That means it does something right.
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What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
Applied course: https://github.com/qfpl/applied-fp-course
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Exercise/Practice Resources for Beginners / Intermediate
Once you're through those, you might want to give https://github.com/qfpl/applied-fp-course a try.
What are some alternatives?
When comparing backprop and applied-fp-course you can also consider the following projects:
forecast-io - A Haskell library for working with forecast.io data.
milewski-ctfp-pdf - Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
swagger2 - Swagger 2.0 data model.
haskell-ml - Various examples of machine learning, in Haskell.
inquire
adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala
json - Haskell JSON library
c-scikit-learn - C bindings for scikit-learn
listenbrainz-client - A client to the ListenBrainz project
haskell-wushu-panda - Haskell in practice course
clock-extras
android-lint-summary - Prettier display of Android Lint issues
backprop vs forecast-io
applied-fp-course vs milewski-ctfp-pdf
backprop vs swagger2
applied-fp-course vs haskell-ml
backprop vs inquire
applied-fp-course vs adventofcode
backprop vs json
applied-fp-course vs c-scikit-learn
backprop vs listenbrainz-client
applied-fp-course vs haskell-wushu-panda
backprop vs clock-extras
backprop vs android-lint-summary