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- While the Latex env is not fully set, we'll write our thoughts here for now
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- `ViperGPT` is a framework that leverages the pre-trained vision language models (`GLIP` for image object ground…
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Hi, from my understanding of the code, in line 303 of Models/interpretable_diffusion/gaussian_diffusion.py, the sample refers to x_{t-1}. However, within the langevin_fn, the input to the denoiser in …
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# Assessing Interpretable Models | Practical Cheminformatics
Understanding and comparing the rationale behind machine learning model predictions
[https://patwalters.github.io/practicalcheminformatic…
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**Is your feature request related to a problem? Please describe.**
The available models focus on predictive performance but don't have enough interpretable model support.
**Describe the solution y…
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## Goal
Experiment on WhisperVQ model for better result on multilingual. Hypothesis the current codebook is only 512 which is a small space to compress the multilingual capability.
## Learning Goa…
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@Sazan-Mahbub has volunteered to lead this section. It may grow to include others' contributions as well.
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Title: Question about ECoT model training and output mechanism
I want to commend you on your innovative ECoT approach. The integration of embodied chain-of-thought reasoning into VLA models is trul…
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### Describe the workflow you want to enable
I'd love to push the inspection module further by adding Accumulated local effects (ALE) from Apley 2020. A great description can be found in Christoph'…
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Is this out of scope? I hope not, would be nice to have a one-stop shop for interpretability tooling.
### Proposal
It should be easy to get the most bare-bones interpretability research off the…
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Read through from c2 - c10 of the books, gathering knowledge asap.
#### Summary
Machine learning has great potential for improving products, processes and research. But computers usually do not …