XLA.jl
pyhpc-benchmarks
XLA.jl | pyhpc-benchmarks | |
---|---|---|
2 | 6 | |
46 | 302 | |
- | - | |
10.0 | 3.2 | |
almost 4 years ago | 4 months ago | |
Julia | Python | |
MIT License | The Unlicense |
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XLA.jl
- PyTorch vs. TensorFlow in 2022
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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.
pyhpc-benchmarks
-
Supercharged high-resolution ocean simulation with Jax
True, but unfortunately Pytorch is not quite there yet when it comes to more complex benchmarks:
https://github.com/dionhaefner/pyhpc-benchmarks#example-resu...
JAX really is the only library that comes close to low-level code on CPU, almost always.
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[D] Does working with Tensorflow affect my chances of getting research internships?
https://github.com/dionhaefner/pyhpc-benchmarks begs to differ.
- GitHub - dionhaefner/pyhpc-benchmarks: A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
- HPC Benchmarks for Python
- Pyhpc: Benchmarks for CPU and GPU of the most popular high-perf Python libs
What are some alternatives?
flax - Flax is a neural network library for JAX that is designed for flexibility.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
MATDaemon.jl
pyopencl - OpenCL integration for Python, plus shiny features
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
sqloxide - Python bindings for sqlparser-rs
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
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
XLA.jl - Julia on TPUs