pyhpc-benchmarks
XLA.jl
pyhpc-benchmarks | XLA.jl | |
---|---|---|
6 | 2 | |
301 | 46 | |
- | - | |
3.2 | 10.0 | |
4 months ago | almost 4 years ago | |
Python | Julia | |
The Unlicense | MIT License |
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pyhpc-benchmarks
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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
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.
What are some alternatives?
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
flax - Flax is a neural network library for JAX that is designed for flexibility.
pyopencl - OpenCL integration for Python, plus shiny features
MATDaemon.jl
sqloxide - Python bindings for sqlparser-rs
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
XLA.jl - Julia on TPUs
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets