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seanpedrickcase

Re-added TruncatedSVD dependency to topic_core_funcs.py

f42e3d1 8 months ago

__init__.py

0 Bytes

first commit over 1 year ago
anonymiser.py

10.7 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 10 months ago
auth.py

1.88 kB

Only aggregate topics not 'other', allowed for minimum sentence length, default max_topics now will auto aggregate topics. Added Cognito Auth functionality (boto3 with AWS). about 1 year ago
aws_functions.py

7.26 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 10 months ago
bertopic_vis_documents.py

47.6 kB

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities about 1 year ago
clean_funcs.py

6.77 kB

Rearranged functions for embeddings creation to be compatible with zero GPU space. Updated packages. 9 months ago
embeddings.py

5.04 kB

Debugged reference to random_seed in vectorisation and reference to torch in representation_model.py 8 months ago
helper_functions.py

18.7 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 10 months ago
presidio_analyzer_custom.py

4.14 kB

Added example of how to run function from command line. Updated packages. Embedding model default now smaller and at fp16. 10 months ago
prompts.py

6.24 kB

Updated packages. Improve hierarchy vis. Better models - mixedbread and phi3. Now option to split texts into sentences before modelling. about 1 year ago
representation_model.py

7.83 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size about 1 year ago
topic_core_funcs.py

38.5 kB

Re-added TruncatedSVD dependency to topic_core_funcs.py 8 months ago