-
I'd love it if superworkers responded to sidekiq testing methods (see https://github.com/mperham/sidekiq/wiki/Testing#testing-worker-queueing-fake) and delegated them to sidekiq workers as appropriate…
-
# Improve Scalability and Efficiency with Graph Optimization and Streaming Support
## Issue Description
The current implementation of Indexify's Python SDK may face challenges with very large gr…
-
If skills "VS Code" and "Visual Studio Code" are both used in the list of skills, we get nodes for each, even though VS Code is a [Wikipedia Redirect Page](https://en.wikipedia.org/wiki/Wikipedia:Redi…
-
### Description
When using the Bayesian Wilcoxon signed-rank test in JASP, it is not possible to plot a sequential analysis. This is particularly unfortunate because there is - to the best of my know…
-
The current experience with resume from checkpoint can improve. A few potential ways:
1. good defaults: Resuming from checkpoint should have as default using the last checkpoint saved, so the user …
-
val model = Sequential[Float]()
.add(Dense(hiddenSize, inputShape = Shape(inputSize)))
.add(Activation("relu"))
.add(Dense(1))
val optimizer = Optimizer(model = model,
…
-
### Description
The sequential analysis option is available for the Bayesian independent samples t-test using the default prior but not with an informed prior.
### Purpose
Sequential analysis would…
-
In many complex scenarios, the order in which rules are evaluated significantly impacts the performance and outcome. Current operators like "And" and "Or" do not provide enough control for scenarios w…
-
### 🐛 Describe the bug
```
import torch
from torch import Tensor
from torch import nn
import torch.nn.functional as F
import torch._inductor.config
torch.set_default_device('cuda')
# from torc…
-
Your paper states that you trained on 8 V100s with a batch size of 16. Does this mean that each GPU had a batch of 2? I am trying to get a gauge of how much VRAM this model uses for someone with less …