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crates.io : dfdx
Ergonomic auto differentiation in Rust, with pytorch like apis.
Registry
-
Source
- Documentation
- JSON
purl: pkg:cargo/dfdx
Keywords:
deep-learning
, backprop
, tensor
, neural-network
, autodiff
, autodifferentiation
, autograd
, backpropagation
, cuda
, cuda-kernels
, cuda-support
, cuda-toolkit
, cudnn
, deep-neural-networks
, gpu
, gpu-acceleration
, gpu-computing
, machine-learning
, rust
, rust-lang
License: MIT,Apache-2.0
Latest release: about 2 years ago
First release: about 3 years ago
Dependent packages: 4
Dependent repositories: 2
Downloads: 98,812 total
Stars: 1,812 on GitHub
Forks: 108 on GitHub
Total Commits: 878
Committers: 41
Average commits per author: 21.415
Development Distribution Score (DDS): 0.457
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/coreylowman, https://patreon.com/dfdx, https://ko-fi.com/coreylowman
Last synced: about 1 month ago