DiffSharp
ocaml-torch
| DiffSharp | ocaml-torch | |
|---|---|---|
| 2 | 1 | |
| 574 | 400 | |
| 1.0% | - | |
| 4.6 | 4.5 | |
| 22 days ago | 12 months ago | |
| F# | OCaml | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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DiffSharp
- Automatic differentiation in a lot more than 38 lines of F#
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Neural Networks Fsharp
Yes. You can use TensorFlow.NET or DiffSharp.
ocaml-torch
What are some alternatives?
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
mini_dalle - mini-dalle in OCaml
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.
DALI - A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
lamp - deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
ivy - The Unified AI Framework