ocaml-torch
mini_dalle
Our great sponsors
| ocaml-torch | mini_dalle | |
|---|---|---|
| 1 | 3 | |
| 399 | 38 | |
| - | - | |
| 4.5 | 10.0 | |
| 12 months ago | over 1 year ago | |
| OCaml | OCaml | |
| Apache License 2.0 | - |
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
mini_dalle
-
Stable Diffusion in OCaml
I have seen the OCaml versions to be faster than Python(I did try to compare it with python here - https://github.com/ArulselvanMadhavan/mini_dalle). I haven't seen the OCaml version to be faster than Rust. It feels like it's close. With few optimizations, it might close the gap with Rust. The main benefit I see over with Rust is development time. The compiler being fast and the FP benefits that come with OCaml makes it easier to build a model fairly fast. While working on it, I would occasionally try to run the Rust library to debug issues, the rust compiler is just several times slower to build and start running the project, while the OCaml compiler would build and have completed few iterations by the time rust compiler is ready to run. This wasn't surprising either. It was just easier and faster to build a working a model
- An OCaml port of min-DALLE
- Mini-Dalle in OCaml
What are some alternatives?
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
MinImagen - MinImagen: A minimal implementation of the Imagen text-to-image model
DiffSharp - DiffSharp: Differentiable Functional Programming
reason - Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
ocaml - The core OCaml system: compilers, runtime system, base libraries
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.
google-drive-ocamlfuse - FUSE filesystem over Google Drive
lamp - deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
pyre-check - Performant type-checking for python.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
mirage - MirageOS is a library operating system that constructs unikernels