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Updating conversion, creating readmes

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Jonas Zeunert
2024-04-19 23:37:46 +02:00
parent 3619ac710a
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@@ -1,6 +1,6 @@
 DEPRECATED - Use Curated Packages (https://github.com/nim-lang/Nim/wiki/Curated-Packages) instead.
 DEPRECATED - Use Curated Packages (https://github.com/nim-lang/Nim/wiki/Curated-Packages) instead.
 Awesome Nim !Awesome (https://awesome.re/badge.svg) (https://awesome.re)
 Awesome Nim !Awesome (https://awesome.re/badge.svg) (https://awesome.re)
A curated list of awesome Nim (https://nim-lang.org) frameworks, libraries and software. Inspired by other awesome lists (https://github.com/bayandin/awesome-awesomeness).
@@ -62,8 +62,7 @@
Byte Size
⟡ nim-bytes2human (https://github.com/juancarlospaco/nim-bytes2human#nim-bytes2human) - Calculate all Byte units from an integer, with precision from Bytes to Yottabytes, and return a human friendly string 
representation. LGPL 
⟡ nim-bytes2human (https://github.com/juancarlospaco/nim-bytes2human#nim-bytes2human) - Calculate all Byte units from an integer, with precision from Bytes to Yottabytes, and return a human friendly string representation. LGPL 
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@@ -82,23 +81,21 @@
Date Time
⟡ nim-datetime2human (https://github.com/juancarlospaco/nim-datetime2human#nim-datetime2human) - Calculate date & time with precision from seconds to millenniums. Human friendly date time as string. ISO-8601. 
LGPL 
⟡ nim-datetime2human (https://github.com/juancarlospaco/nim-datetime2human#nim-datetime2human) - Calculate date & time with precision from seconds to millenniums. Human friendly date time as string. ISO-8601. LGPL 
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Deep Learning
⟡ Arraymancer (https://github.com/mratsim/Arraymancer) - A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU, OpenCL and embedded devices. Apache-2.0 
⟡ NimTorch (https://gitlab.fragcolor.xyz/fragcolor/nimtorch) - PyTorch - Python + Nim. A Nim front-end to PyTorch's native backend, combining Nim's speed, productivity and portability with PyTorch's latest 
implementations. MIT 
⟡ NimTorch (https://gitlab.fragcolor.xyz/fragcolor/nimtorch) - PyTorch - Python + Nim. A Nim front-end to PyTorch's native backend, combining Nim's speed, productivity and portability with PyTorch's latest implementations. MIT 
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Design
⟡ nim-random-font-color (https://github.com/juancarlospaco/nim-random-font-color#nim-random-font-color) - Random curated Fonts, pastel Colors and Seamless CSS3 Patterns for your UI/UX design, design for 
non-designers, poors man design. LGPL 
⟡ nim-random-font-color (https://github.com/juancarlospaco/nim-random-font-color#nim-random-font-color) - Random curated Fonts, pastel Colors and Seamless CSS3 Patterns for your UI/UX design, design for non-designers, poors man design. 
LGPL 
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@@ -141,8 +138,8 @@
Implementations
⟡ Nim (https://github.com/nim-lang/Nim) - Nim (formerly known as "Nimrod") is a compiled, garbage-collected systems programming language which has an excellent productivity/performance ratio. Nim's design 
focuses on efficiency, expressiveness, elegance (in the order of priority). MIT website (http://nim-lang.org/)
⟡ Nim (https://github.com/nim-lang/Nim) - Nim (formerly known as "Nimrod") is a compiled, garbage-collected systems programming language which has an excellent productivity/performance ratio. Nim's design focuses on efficiency, 
expressiveness, elegance (in the order of priority). MIT website (http://nim-lang.org/)
⟡ Nlvm (https://github.com/arnetheduck/nlvm) - LLVM backend for Nim. MIT 
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 Development Tools
 Development Tools
Binding Generators
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 Resources
 Resources
Books
⟡ Nim in Action (https://www.manning.com/books/nim-in-action) - Nim's first book
⟡ Nim Days
 (https://github.com/xmonader/nimdays) - A project to document my journey with nim with mini applications, libraries documented from A to Z and also to provide new Nim users with some extra in depth information.
⟡ Nim Days (https://github.com/xmonader/nimdays) - A project to document my journey with nim with mini applications, libraries documented from A to Z and also to provide new Nim users with some extra in depth information.
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 Contributing
 Contributing
Contributions are very welcome!