ALS_model
ctl
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ALS_model
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Ask HN: What Are You Working On?
Many thanks!
Actually two years ago I did also a computational model of ALS, but I was not so satisfied with it.
https://github.com/Hjertesvikt/ALS_model
ctl
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A header-only C implementation of C++ <algorithm>
Well, I do like mine better, which is closer to the STL, and for all containers. https://github.com/rurban/ctl/
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A simple hash table in C
search for htable or hashtable in thousands of open source projects. only a minority has worse hashtables than this one (clisp, perl5 e.g.).
For better ones I would point to my linked list implementation: https://github.com/rurban/ctl/blob/master/ctl/unordered_set.... (because it has various security policies, nobody else has)
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Popular Data Structure Libraries in C ?
C Container Template Library, Rurban Variant (CTL) - The page for unordered_map reads "Implementation in work still".
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C Template Library
There is also the rurban variant variant of CTL which is more complete.
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Better C Generics: The Extendible _Generic
The prototype of CC used this mechanism to provide a generic API for types instantiated via templates (so basically like other container libraries, but with an extendible-_Generic-based API laid over the top of the generated types). This approach has some significant advantages over the approach CC now uses, but I got a bit obsessed with eliminating the need to manually instantiate templates.
- C_dictionary: A simple dynamically typed and sized hashmap in C - feedback welcome
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How different is C++ from C? Contrasting simple Unix SORT programs
But the most common that I know of is this one: https://github.com/tylov/STC. There's also this one mentioned above https://rurban.github.io/ctl/
- C++ containers but in C
- STL in C
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On HASH-TABLEs performance
I'm also working on a proper one, but got sidetracked. https://github.com/rurban/ctl/blob/hmap/ctl/swisstable.h
What are some alternatives?
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
rnnoise - Recurrent neural network for audio noise reduction
Klib - A standalone and lightweight C library
STC - A modern, user friendly, generic, type-safe and fast C99 container library: String, Vector, Sorted and Unordered Map and Set, Deque, Forward List, Smart Pointers, Bitset and Random numbers.
roost - Proof of Concept for Eventsourced backend
LIPS - Scheme based powerful lisp interpreter in JavaScript
covid_status
nix-home-manager - Nix to manage my computing life
libc - Raw bindings to platform APIs for Rust
ctl - The C Template Library
kbs2 - A secret manager backed by age
libcperciva - BSD-licensed C99/POSIX library code shared between tarsnap, scrypt, kivaloo, spiped, and bsdiff.