Comments (1)
laggui
commented on June 12, 2024
Actually, Burn is not meant to be a "full-fledged machine learning stack". Burn is a deep learning framework.
We do not have traditional machine learning methods such as svm, naive bayes, etc.
Not sure if the linked post included the code to their example, but the closest thing we have is a simple regression example.
If you're looking for traditional ML methods in Rust, take a look at Are We Learning Yet. I just stumbled upon this recently, it could be a helpful resource for you.
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Related Issues (20)
- Add `squeeze_dims` function
- Building failed. Err: Is gcc.exe installed HOT 3
- Bug with element types in JIT when using all(), related to PRNG
- Crate libc 0.2.154 is yanked
- Feature: Burn equivalent to torch.retain_grad
- Burn-WGPU tests fail on Windows with Radeon 6950 HOT 1
- [Book] Add reference to models repo HOT 2
- [Book] Add examples section HOT 1
- Error when importing onnx of transformers bert model HOT 1
- Extract onnx importing into it's own crate. HOT 4
- The trait `std::clone::Clone` is not implemented for `BenchmarkModuleRecord<B>
- [Book] Add custom dataset, loader and batcher detailed example HOT 1
- Crate zip 1.3.0 is yanked
- Alternative design for node, argument handling in burn import HOT 2
- Crate zip 1.3.0 is yanked
- Remove the Copy restriction from `impl<const N: usize, T, B> Module<B> for [T; N]`
- Batch matrix multiply leads to vulkan error on WGPU HOT 1
- CUDA backend does not work with rust nightly HOT 2
- Distributions from space bounds
- Backward pass has mismatched dimensions HOT 4
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