Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
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Updated
Sep 29, 2024 - Python
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
Batch-scheduler framework for controlling execution in a packet-processing pipeline based on strict service-level objectives
Migrates public entity financial data from EDGAR zip into AWS S3 bucket
Implementations of methods for online (sequential) multiple hypothesis testing.
simulation of Bucket brigade in production lines.
Batch-aware online task creation for meta-learning.
Add watermark to one or an entire folder of images.
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