Open Issues Need Help
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Make the `GoldDescriptor` serializable 1 day ago
help wanted ready
Create base classes for GoldDoers 1 day ago
good first issue help wanted ready
help wanted ready
good first issue help wanted ready
enhancement help wanted ready
help wanted ready
good first issue help wanted ready
help wanted ready
help wanted
help wanted tools ready Infra
Make `GoldTorchEmbeddingTool` extract features without using hooks (issue with multithread) 12 days ago
help wanted ready
help wanted ready Infra
help wanted tools ready
Make Pixeltable logging optional 13 days ago
enhancement good first issue help wanted ready
help wanted tools ready Infra
good first issue help wanted ready
enhancement help wanted ready
help wanted ready
Save the initial embeddings and the vectorized ones when a `GoldDescriptor` includes a `TensorVectorizer` 13 days ago
enhancement help wanted ready
enhancement help wanted ready
Store the reduced embeddings when GoldReductionTool is leveraged to limit memory/time constraints 13 days ago
enhancement help wanted ready
good first issue help wanted ready
good first issue help wanted ready
enhancement good first issue help wanted ready
Keep some vectors outside of the target when vectorizing in `GoldDescriptor` and `GoldVectorizer` 14 days ago
enhancement help wanted ready
good first issue help wanted ready
enhancement good first issue help wanted ready
enhancement good first issue help wanted ready
good first issue help wanted ready
Windows - uvloop runtime error 14 days ago
good first issue help wanted ready
good first issue help wanted ready
good first issue help wanted ready
help wanted ready
Make Goldener AI ready: Skills 14 days ago
help wanted ready
Force type annotations everywhere 14 days ago
good first issue help wanted ready
help wanted ready
Set sequence-preserving collate function as default in `GoldDoer` classes when `collate_fn` is `None` 15 days ago
good first issue help wanted ready
help wanted ready
good first issue help wanted ready
help wanted ready
Refactor and generalize PyTorch collate function to preserve sample sequences and leverage default_collate 16 days ago
good first issue help wanted ready
good first issue help wanted ready
good first issue
good first issue in progress
GoldFeatureExtractor: make the device always available (allow to convert data device before running extraction) 9 months ago
good first issue
good first issue
GoldSplitter: must force the selector to find features to vectorize in the "feature" column 9 months ago
good first issue
GoldDescriptor, GoldSelector and GoldSplitter: Allow to specify to restrict to a small part of the dataset 9 months ago
good first issue
GoldDescriptor: Add a data_key attribute to find which element of the dataset to extract feature from 9 months ago
enhancement good first issue
GoldSplitter and GoldSelector: When multiple classes are selected we should allow to name the table differently 9 months ago
good first issue help wanted
good first issue
good first issue
help wanted