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  1. Update geneformer/tokenizer.py

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  2. Update geneformer/tokenizer.py⁠

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  1. Upload ensembl_mapping_dict_gc30M.pkl

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  2. Update geneformer/tokenizer.py

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  3. Update geneformer/tokenizer.py

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  1. Add find_packages to automatically include mtl and subpackages in setup.py (#410)⁠

    ctheodoris +1: madhavanvenkatesh
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    3b78204
  2. adding tensorboard to setup.py (#409)⁠

    ctheodoris +1: madhavanvenkatesh
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  3. tensorboard add to reqs (#407)⁠

    ctheodoris +1: madhavanvenkatesh
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  1. dictionaries from parent dir (#405)⁠

    ctheodoris +1: madhavanvenkatesh
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  2. remove token dictionary and unpickling from init (#403)⁠

    ctheodoris +1: madhavanvenkatesh
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  1. move dict loading to function in eval utils

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  2. edit doc formatting

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  3. edit docs formatting

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  4. add mtl_classifier to docs

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  5. add input size tip to instructions

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  6. update tokenizer to defaults for 95M models for special token and input size

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  7. update instructions to include reminder about token dictionary

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  1. pointing dictionaries from the mtl module's init (#397)⁠

    ctheodoris +1: madhavanvenkatesh
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  2. Refactored token dictionary loading and encapsulated dictionary (#398)⁠

    ctheodoris +1: madhavanvenkatesh
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  3. Refactor: Convert mask_token_id, pad_token_id, and all_special_ids to properties (#395)⁠

    ctheodoris +1: madhavanvenkatesh
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  1. sync token_dictionary variable name w/ classifier

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  1. update setup with req and manifest with updated filenames

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  1. fix imports mtl/eval_utils

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  1. allow model_type valid options to take params model_type : {"Pretrained", "GeneClassifier", "CellClassifier", "MTLCellClassifier", "MTLCellClassifier-Quantized"} (#390)⁠

    ctheodoris +1: madhavanvenkatesh
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  2. peft>=0.11.1 (#387)⁠

    ctheodoris +1: madhavanvenkatesh
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  3. "save_model_without_heads" is redundant (#385)⁠

    ctheodoris +1: madhavanvenkatesh
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  4. comment out "def save_model_without_heads(original_model_save_directory)"; redundant for ISP/Emb extractor (#382)⁠

    ctheodoris +1: madhavanvenkatesh
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  5. fixed bug related to dynamic ranges in dictionary with 'min' and 'max' value mismatch in optuna suggest fn (#380)⁠

    ctheodoris +1: madhavanvenkatesh
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  1. Update README.md

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  1. precommit formatting

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  2. update with 12L and 20L i4096 gc95M models, multitask and quantiz code

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  1. rename for consistency

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  2. delete old gene name dict

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  3. update to only have gene names as keys in gene_name_id_dict

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  4. Add function for summing of Ensembl IDs (#377)⁠

    ctheodoris +1: hchen725
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  1. save pval

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  2. add typing list import

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  1. move dicts to init

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  2. add random state to umap

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  1. update get_embs with token_gene_dict arg

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  2. update refs to get_model_emb_dims

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  1. embs_df with all model embeddings (#363)⁠

    ctheodoris +1: hchen725
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  2. Add function to get number of model embeddings (#364)⁠

    ctheodoris +1: hchen725
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  1. clone embs_i to resolve memory leak in cls embs

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  1. update perturber stats to reflect cos sim and emb_extractor to suppress warnings for non-cls

    25dd1da

  1. update to account for set of perturbed genes with aggregate_data

    eb038a6

  1. update to enable cls emb

    b2bbd7c

  1. update tokenizer to include eos token

    Christina Theodoris
    ead0550

  1. Update geneformer/emb_extractor.py (#350)⁠

    ctheodoris +1: hchen725
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  1. Upload in_silico_perturber_stats.py (#313)⁠

    ctheodoris +1: davidjwen
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