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GitHub topics: semantic-retrieval

MnemoWare/CogniRay Fork of Sombressoul/cogniray

CogniRay is a differentiable geometric memory enabling real-time plasticity and semantic recall.

Language: Python - Size: 1.54 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 0 - Forks: 0

Sombressoul/cogniray

CogniRay is a differentiable geometric memory enabling real-time plasticity and semantic recall.

Language: Python - Size: 110 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 1

DS4SD/deepsearch-toolkit

Interact with the Deep Search platform for new knowledge explorations and discoveries

Language: Python - Size: 5.81 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 203 - Forks: 27

ZikunFu/miners Fork of gentaiscool/miners

MINERS Fork⛏️: OTU CSCI 6720 - Extending on ICL and DPR

Language: Python - Size: 7.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

caiyinqiong/Semantic-Retrieval-Models

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

Size: 5.47 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 322 - Forks: 28

gentaiscool/miners

MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models. (EMNLP 2024 Findings)

Language: Python - Size: 6.78 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 13 - Forks: 6

Chiang97912/dssm

An industrial-grade implementation of DSSM

Language: Python - Size: 20.2 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 7

duanyu/embedding_application

Some applications of text embedding model, e.g., semantic retrieval and clustering.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

drogozhang/LED

Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)

Language: Python - Size: 758 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1

applicaai/contract-discovery

Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

Language: TeX - Size: 10.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 0