Comments (2)
pavanky
commented on June 11, 2024
1
Didn't see any updates in a while, so wondering if ArrayFire ML project is still ongoing or abandoned.
I have been intending to do some work on this, but any planning I do comes up with having to do a bit of work upstream to have more building blocks (such as strided convolutions, pooling) etc. Once v3.4.0 is released, it should free up more resources from our end to work on this.
Ideally would be great to have a "drop in" replacement for cuDNN used by Torch.
That is not our goal. But someone from the community can create a bridge for torch and have it be a drop in replacement for "torch.cunn".
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cathalgarvey
commented on June 11, 2024
Hello; in the mean-time, is there a document laying out which features are pretty stable and good for use, and which are somewhat unstable and dangerous to rely on? :)
Thank!
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Related Issues (20)
- Example: Generalized Linear Regression HOT 1
- k-means
- Base classifier class HOT 1
- TODO List for 0.1 release HOT 53
- Principle Component Analysis
- Linear Discriminant Analysis
- RNN Models HOT 12
- HMM and Viterbi
- OpenCL Error OSX Radeon HD6750 HOT 6
- Add Initializers HOT 3
- Remove bias from Weights.hpp HOT 3
- Static Activations Class HOT 5
- Autodiff HOT 1
- Convolution Functions HOT 1
- Loss functions HOT 2
- Optimizers
- Indexing and assignment support in autograd
- Degraded performance for variable input size HOT 2
- Possible anachronism in CMake `target_include_directories`
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