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Running analysis on a game is one of my most common actions in the app. If I play 1 game, often I'll just review the game and run analysis concurrently.
But if I play a stretch of 5 games, it's a bit …
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we can improve the models current accuracy because it is not performing very well as we can see in [Hedging-of-Financial-Derivatives](https://github.com/Akshat111111/Hedging-of-Financial-Derivatives/t…
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# Task Name
Interactive Data Analysis
## Task Objective
Interactive Data Analysis, a collaboration between humans and Large Language Model (LLM) agents, enables real-time data exploration for…
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### Description
How would we verify that a complete extraction of chain data via visor would allow us to run aggregation queries that gave the same answer as the filecoin state tree at a given epoc…
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The current genetic data preprocessing pipeline employs basic methods for data cleaning and normalization. However, to enhance the quality of input data for machine learning models and improve predict…
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### Description of feature
**Description**:
I am writing to request the addition of parameters for specifying haploid contigs and regions when detecting SNPs and Indels using DeepVariant in the nf…
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# Task Name
Audio Sentiment Analysis
## Task Objective
Sentiment Analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or …
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### Component(s)
_No response_
### Is your feature request related to a problem? Please describe.
I'm always frustrated when I have to manually export and transfer telemetry data to Google Big Quer…
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Not sure if already available easily, but when having a multi-class classification problem, then it would be good to automatically get the performance on several metrics separately for each class, not…
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Sylvain: Here is a possible pipeline for running a group analysis on accuracy maps obtained with a "searchlight decoding" :
1. subject by subject, run the searchlight decoding (in the native space)…