Open Issues Need Help
View All on GitHub Setup the serialization principles for the GoldDoers about 20 hours ago
help wanted ready serialization
Create base classes for GoldDoers about 20 hours ago
good first issue help wanted ready
help wanted ready
help wanted ready infra security
help wanted ready
help wanted ready infra distributed computation
good first issue help wanted ready
Add contributors display in readme 19 days ago
good first issue help wanted ready
In `TestGoldVectorizer` fix method name 19 days ago
good first issue help wanted ready
Improve coverage of restriction tests for `GoldClusterizer`, `GoldDescriptor` and `GoldVectorizer` 19 days ago
good first issue help wanted ready
good first issue help wanted ready
Force type annotations everywhere 20 days ago
good first issue help wanted ready
good first issue help wanted ready test
Refactor and generalize PyTorch collate function to preserve sample sequences and leverage default_collate 20 days ago
good first issue help wanted ready
Check index key is valid when restricting to specified indices in `GoldSelector` and `GoldClusterizer` 21 days ago
good first issue help wanted ready
Add type annotation in `organize.py` 24 days ago
good first issue help wanted ready
help wanted ready time estimation
`GoldSplitter` docstring mention distribution while the distribution is chosen in the internal `GoldDoers` 29 days ago
good first issue help wanted ready
help wanted tools ready infra memory usage
`GoldSelector`: Select a bunch of really similar data about 1 month ago
enhancement help wanted ready
All `GoldDoers` must be able to restrict their actions to some samples about 1 month ago
enhancement good first issue help wanted ready
enhancement good first issue help wanted ready
help wanted ready
Add vector transformation in the different `GoldDoer` about 1 month ago
good first issue help wanted ready
Show more progress information during GoldDoers computation about 1 month ago
help wanted tools ready
Make the `GoldDescriptor` serializable about 1 month ago
help wanted ready serialization
Make the `GoldSplitter` serializable about 1 month ago
help wanted ready serialization
Make the `GoldClusterizer` serializable about 1 month ago
help wanted ready serialization
Make the `GoldSelector` serializable about 1 month ago
help wanted ready serialization
Make the `GoldVectorizer` serializable about 1 month ago
help wanted ready serialization
Distribute the computation for `GoldSelector` about 1 month ago
help wanted ready infra distributed computation
Distribute the computation for `GoldDescriptor` about 1 month ago
help wanted ready infra distributed computation
Distribute the computation for `GoldVectorizer` about 1 month ago
help wanted ready infra distributed computation
Distribute the computation for `GoldClusterizer` about 1 month ago
help wanted ready infra distributed computation
Distribute the computation for `GoldSplitter` about 1 month ago
help wanted ready infra distributed computation
Tool optimizing the `GoldSelector` computation memory usage about 1 month ago
help wanted tools ready infra memory usage
Display an estimation of the computation time for `GoldClusterizer` about 1 month ago
help wanted ready time estimation
Display an estimation of the computation time for `GoldDescriptor` about 1 month ago
help wanted ready time estimation
Display an estimation of the computation time for `GoldSplitter` about 1 month ago
help wanted ready time estimation
Display an estimation of the computation time for `GoldSelector` about 1 month ago
help wanted ready time estimation
In GoldDoers, setting the `distribute` attribute to `True` if `_distributed_do` is not implemented about 1 month ago
good first issue help wanted ready
good first issue help wanted ready
GoldClusterizer: Use get_random_chunk_assignment when creating chunks about 1 month ago
good first issue help wanted ready
Allow to start the selection of a `GoldSelector` with anchors (already selected/defined embeddings) about 1 month ago
enhancement help wanted ready
Rename `TensorVectorizer` as `GoldTensorVectorizationTool` about 1 month ago
good first issue help wanted ready
Add commands to define the general configuration of Goldener about 2 months ago
enhancement help wanted ready
enhancement help wanted ready
Make `GoldTorchEmbeddingTool` extract features without using hooks (issue with multithread) about 2 months ago
help wanted ready
Make Pixeltable logging optional about 2 months ago
enhancement good first issue help wanted ready
Specify smarter chunk composition as input of `GoldSelector` or `GoldClusterizer` about 2 months ago
enhancement help wanted ready
Add a GoldReducer to reduce already vectorized or described data about 2 months ago
help wanted ready
Save the initial embeddings and the vectorized ones when a `GoldDescriptor` includes a `TensorVectorizer` about 2 months ago
enhancement help wanted ready
Include a `TensorVectorizer` in `GoldSelector` to unwrap existing description table about 2 months ago
enhancement help wanted ready
Store the reduced embeddings when GoldReductionTool is leveraged to limit memory/time constraints about 2 months ago
enhancement help wanted ready
Use a SelectionTool to filter data in TensorVectorizer about 2 months ago
enhancement good first issue help wanted ready
Keep some vectors outside of the target when vectorizing in `GoldDescriptor` and `GoldVectorizer` about 2 months ago
enhancement help wanted ready
good first issue help wanted ready
good first issue help wanted ready
Windows - uvloop runtime error 2 months 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 2 months ago
help wanted ready
Make Goldener AI ready: Specification in AGENTS.md 2 months ago
help wanted ready
Set sequence-preserving collate function as default in `GoldDoer` classes when `collate_fn` is `None` 2 months ago
good first issue help wanted ready
good first issue help wanted ready
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) 10 months ago
good first issue
good first issue
GoldSplitter: must force the selector to find features to vectorize in the "feature" column 10 months ago
good first issue
GoldDescriptor, GoldSelector and GoldSplitter: Allow to specify to restrict to a small part of the dataset 10 months ago
good first issue
GoldDescriptor: Add a data_key attribute to find which element of the dataset to extract feature from 10 months ago
enhancement good first issue
GoldSplitter and GoldSelector: When multiple classes are selected we should allow to name the table differently 10 months ago
good first issue help wanted
good first issue
good first issue
help wanted