komuher

10 ms·

61.
by komuher 7y ago
Nim have Arraymancer https://github.com/mratsim/Arraymancer sure it isn't easy but still most of top dogs have some libs supporting BLAS/CUDA etc.
62.
by komuher 7y ago
Ok let me get it here cause there are a lot of misunderstanding my post on top. Swift have built in simd same about Rust https://github.com/apple/swift-evolution/blob/master/proposa... Nim have arraymanc
63.
by komuher 7y ago
Ok my fault i was writing from perspective of ML engineer not reasercher (I'm using Julia for 1.5 year now and my bois reaserchers prefer pure julia solutions cause its easier to write u can use symbols and not using OOP etc.) But for
64.
by komuher 7y ago
How much LOC did u guys have at the moment, and how much data are u monitoring? For smaller problems Julia was working perfect for us.
65.
by komuher 7y ago
For numeric code sure but its because Julia are using BLAS (or any other instruction for CPU/GPU u give to LLVM). Julia (no BLAS) -> In matmul its on pair with Golang and Swift and a bit slower then RUST and Nim. If u need BLAS then
66.
by komuher 7y ago
Java is good for big projects but not for Machine Learning purposes (Also im C# fanboy so still will prefer C# over Java :D)
67.
by komuher 7y ago
Flux but its not even close to PyTorch or TF in terms of features and performance
68.
by komuher 7y ago
Something about Julia from me. I was big Julia fan using it for last 1.5 year and in my company we are using Julia for data preprocessing and parsing hundred of GB's of data. (We also use Python for ML and start to moving julia code to
69.
by komuher 7y ago
Kinda biased benchmarks u just took best of crystal and worst of nim from this xd -> https://github.com/kostya/benchmarks