type_generator
By lenscas
gamma
Computational graphs with reverse automatic differentation in the GPU (by c0dearm)
type_generator | gamma | |
---|---|---|
2 | 8 | |
1 | 381 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Rust | Rust | |
- | 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.
type_generator
Posts with mentions or reviews of type_generator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-05.
-
What are your must install crates when starting a new project?
second will probably be either tealr or https://github.com/lenscas/type_generatorschemars and serde_json. Guess I just really like calling out to lua (technically teal but whatever) and F#?
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What’s everyone working on this week (14/2021)?
/shared -> Every type that is used to communicate between the server and client is defined here. It can also be executed to generate the F# types for them (type generation is done using https://github.com/lenscas/type_generator )
gamma
Posts with mentions or reviews of gamma.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-13.
-
Announcing dfdx - an deep learning library built with const generics
There's other differences in how nn layers are implemented if you compare the source of linear layers: https://github.com/coreylowman/dfdx/blob/main/src/nn/linear.rs vs https://github.com/c0dearm/mushin/blob/main/src/nn/layers/linear.rs
- Which areas in tech have the most job density using Rust?
- Mushin: Automatic Differentiation in the GPU with Rust
- Making a better Tensorflow thanks to strong typing
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Using const generics to build neural networks
https://github.com/c0dearm/gamma/pull/1 first pr :)
- What’s everyone working on this week (14/2021)?
What are some alternatives?
When comparing type_generator and gamma you can also consider the following projects:
Epic-Asset-Manager - A frontend to Assets purchased on Epic Games Store
robusta - Easy interop between Rust and Java
lab_rust_event_sourcing
fflag
doc_panic_checker
python-compiler - A compiler for a subset of Python using LLVM
neurotic - The compile-time feedforward neural network library that no one asked for
card_game
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
type_generator vs Epic-Asset-Manager
gamma vs robusta
type_generator vs lab_rust_event_sourcing
gamma vs Epic-Asset-Manager
type_generator vs fflag
gamma vs doc_panic_checker
type_generator vs python-compiler
gamma vs neurotic
type_generator vs robusta
gamma vs python-compiler
type_generator vs card_game
gamma vs dfdx