lsb

tabular learner prediction seems to call python code that runs in time quadratic to number of features

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Problem is visible in fastai 2.5.3 and fastcore 1.3.27 **Describe the bug** Tabular learners can take a long time to predict when there are a lot of columns (for instance,...

captum integration broken

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There are links to Captum, Weights & Biases, Neptune, and Tensorboard. Only Captum 404s out, and the following three work. The 404 page helpfully links to how to make an...

## 🚀 Feature In much the same way that there is documentation of wrapping Nimble around a torchvision model, there should be documentation (and benchmarks?) around wrapping Nimble around 🤗...

Right now it throws the zookeepers parameter away https://github.com/lookout/Hermann/blob/master/lib/hermann/consumer.rb#L37

Useful for standing up an environment from scratch. In JRuby I can hack it with something like Java::Kafka::admin::TopicCommand.main(["--zookeeper", $zookeepers, "--create", "--topic", $topic, "--partitions", "1", "--replication-factor", "1"].to_java(:string)) But there's no workaround...

### 🐛 Describe the bug RuntimeError: current_allocated_size() >= m_low_watermark_limit INTERNAL ASSERT FAILED at "/Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/mps/MPSAllocator.mm":389, please report a bug to PyTorch. Will update shortly. I had been mostly following along with...

Should the gradio client build in a default create-react-app out of the box?

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### Describe the bug Not sure to file this as a bug or a feature request. When adding the javascript gradio client, and doing the `import { client } from...

Rename repository to make it obvious that this is not a bundle of ClojureScript?

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The suffix ".cljs" is often used for clojure-atop-v8. OpenCL.JS, perhaps?

Safetensor serialization throws "conv_in.weight.qtype is invalid expected torch.Tensor but received string"

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To test: tinypipe = StableDiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch") tinypipe.save_pretrained("tinypipe-full", safe_serialization=True) quantize(tinypipe.unet, weights=qint2) tinypipe.save_pretrained("tinypipe-qint2", safe_serialization=True) ``` ValueError Traceback (most recent call last) Cell In[40], line 7 2 tinypipe.save_pretrained("tinypipe-full", safe_serialization=True) 3 quantize(tinypipe.unet, weights=qint2) ----> 4...

Using a CFG with a <think>.+</think> section, when there is a special token <think>, breaks the CFG with "ParserTooComplex"

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### Describe the issue as clearly as possible: Use case: I want to constrain my output with a CFG, and I want some arbitrary thinking to happen beforehand. How I...