ConvNetJS is a Javascript implementation of Neural networks.
Run Keras models in the browser, with GPU support using WebGL
Run Keras models in the browser, with GPU support using WebGL
use CIFAR-10 in Javascript
floDl — a flow-graph deep learning framework built on libtorch
Flexible and Comprehensive Deep Learning Framework in Rust
Automatic differentiation backend for the Burn framework
Core backend interfaces and data structures for executing tensor operations in Burn.
[Deprecated] Candle backend for the Burn framework - use burn-cubecl, burn-ndarray, or burn-tch instead
Backend extension for collective calculations.
Common crate for the Burn framework
Abstractions for network communication for Burn
Compute crate that helps creating high performance async backends.
Flexible and Comprehensive Deep Learning Framework in Rust
MLIR based CPU backend for the Burn framework
Generic backend that can be compiled just-in-time to any shader language target
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