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This project is a recommendation system framework designed for building, evaluating, and operationalizing personalized item suggestion engines. It provides a comprehensive toolkit for implementing collaborative filtering and content-based algorithms, supported by an end-to-end machine learning pipeline for preparing datasets and deploying predictive models. The framework distinguishes itself through the integration of knowledge graphs to provide richer context for recommendations and the use of industry-specific patterns to accelerate system deployment. It also includes a specialized model ev
Boxmot is a multi-object tracking framework designed to follow multiple objects across video frames using motion and appearance algorithms to maintain consistent identities. It functions as a system for tracking objects with specific orientations using rotated bounding boxes and corresponding intersection-over-union computations. The project includes a re-identification model optimizer that converts neural networks into formats for hardware-accelerated execution. It also features an evolutionary hyperparameter tuner that iteratively mutates tracker settings to maximize accuracy for specific d
An implementation for Benchmarking Large Language Models in Retrieval-Augmented Generation
This repository provides the pipeline used in our work to benchmark GPT-3 in-context learning and BERT-sized model fine-tuning on biomedical information extraction tasks (NER and relation extraction) under the true few-shot setting.
This is the official repository for IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
The main features of zjunlp/iepile are: Cross-Domain Learning, Evaluation and Benchmarking.
Open-source alternatives to zjunlp/iepile include: recommenders-team/recommenders — This project is a recommendation system framework designed for building, evaluating, and operationalizing personalized… mikel-brostrom/boxmot — Boxmot is a multi-object tracking framework designed to follow multiple objects across video frames using motion and… chen700564/rgb — An implementation for Benchmarking Large Language Models in Retrieval-Augmented Generation. ej0cl6/textee — Updates | Datasets | Models | Environment | Running | Results | Website | Paper. emma1066/zero-shot-ner-with-chatgpt — This is the github repository for the paper to be appeared at EMNLP 2023 main conference: Empirical Study of Zero-Shot… dki-lab/few-shot-bioie — This repository provides the pipeline used in our work to benchmark GPT-3 in-context learning and BERT-sized model…