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W&B for Julia

For those running machine learning experiments in the Julia programming language, a community contributor has created an unofficial set of Julia bindings called wandb.jl that you can use.

Exampleโ€‹

You can find examples in the documentation on the wandb.jl repository. Their "Getting Started" example is here:

using Wandb, Dates, Logging

# Start a new run, tracking hyperparameters in config
lg = WandbLogger(project = "Wandb.jl",
name = "wandbjl-demo-$(now())",
config = Dict("learning_rate" => 0.01,
"dropout" => 0.2,
"architecture" => "CNN",
"dataset" => "CIFAR-100"))

# Use LoggingExtras.jl to log to multiple loggers together
global_logger(lg)

# Simulating the training or evaluation loop
for x โˆˆ 1:50
acc = log(1 + x + rand() * get_config(lg, "learning_rate") + rand() + get_config(lg, "dropout"))
loss = 10 - log(1 + x + rand() + x * get_config(lg, "learning_rate") + rand() + get_config(lg, "dropout"))
# Log metrics from your script to W&B
@info "metrics" accuracy=acc loss=loss
end

# Finish the run
close(lg)
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