MATDaemon.jl
XLA.jl
MATDaemon.jl | XLA.jl | |
---|---|---|
2 | 2 | |
24 | 46 | |
- | - | |
5.6 | 10.0 | |
2 months ago | almost 4 years ago | |
Julia | Julia | |
MIT License | MIT License |
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MATDaemon.jl
XLA.jl
- PyTorch vs. TensorFlow in 2022
-
Supercharged high-resolution ocean simulation with Jax
https://github.com/FluxML/XLA.jl
When in doubt, piggybacking on (or at least interoperating with) what the large technology companies are investing in is probably savvy, sort of what the OP did.
What are some alternatives?
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
flax - Flax is a neural network library for JAX that is designed for flexibility.
Mex.jl - Embedding Julia in the MATLAB process.
pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
julia - The Julia Programming Language
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
ml5-library - Friendly machine learning for the web! 🤖