ocaml-torch
DiffSharp
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| ocaml-torch | DiffSharp | |
|---|---|---|
| 1 | 2 | |
| 399 | 573 | |
| - | 1.6% | |
| 4.5 | 4.6 | |
| 12 months ago | 13 days ago | |
| OCaml | F# | |
| Apache License 2.0 | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ocaml-torch
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.
What are some alternatives?
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
mini_dalle - mini-dalle in OCaml
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
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.
corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.
lamp - deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
ivy - The Unified AI Framework