https://github.com/dfdx/hqdl.jl
Curated list of high-quality operators for deep learning in Julia
https://github.com/dfdx/hqdl.jl
Last synced: 7 months ago
JSON representation
Curated list of high-quality operators for deep learning in Julia
- Host: GitHub
- URL: https://github.com/dfdx/hqdl.jl
- Owner: dfdx
- Created: 2022-01-15T23:16:18.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-23T22:50:31.000Z (over 4 years ago)
- Last Synced: 2025-01-22T07:16:55.326Z (over 1 year ago)
- Language: Julia
- Size: 43.9 KB
- Stars: 40
- Watchers: 5
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# High-Quality Deep Learning
Curated list of high-quality operators for machine learning. See [REPORT.md](REPORT.md) for the current state of the ecosystem.
You can also test a new function using the `@inspect` or `@inspect!` macros:
```julia
import Pkg
Pkg.add("https://github.com/dfdx/HQDL.jl")
import HQDL
import NNlib
HQDL.@inspect NNlib.softmax(r(3,4))
```
> :warning: This is the very beginning of the project, so many false negative results are expected. On the other hand, even positive result in the report by itself doesn't guarantee the correctness of implementation and thus doesn't avoid necesserity of the usual unit tests.