From 9f8e1a05af8efd0f52c27cf9dfb174e570c248a1 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Sat, 24 Aug 2024 00:12:05 +0000 Subject: [PATCH] update data --- database/database.json | 54 +++++++++ database/pipeline.pkl | 4 +- database/triples.json | 264 +++++++++++++++++++++++++++++++++++++++++ 3 files changed, 320 insertions(+), 2 deletions(-) diff --git a/database/database.json b/database/database.json index 6026db7..1d59c14 100644 --- a/database/database.json +++ b/database/database.json @@ -38919,5 +38919,59 @@ "computer science - computation and language", "computer science - machine learning" ] + }, + "https://github.com/lightonai/pylate": { + "extra-tags": [ + "template", + "latex-template", + "boilerplate" + ], + "date": "2024-05-30", + "title": "pylate", + "summary": "", + "tags": [ + "python", + "rag", + "colbert", + "information-retrieval", + "language-model" + ] + }, + "https://github.com/askorama/onnx-go": { + "extra-tags": [ + "pre-trained", + "neural", + "framework" + ], + "date": "2018-08-28", + "title": "onnx-go", + "summary": "onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.", + "tags": [ + "machine-learning", + "software2", + "neural-network", + "onnx", + "protobuf", + "gorgonia", + "go", + "open-source" + ] + }, + "https://arxiv.org/html/2408.11039v1": { + "extra-tags": [ + "predict", + "images", + "multi-modal", + "model" + ], + "title": "Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model", + "summary": "", + "date": "2024-08-23", + "tags": [ + "diffusion", + "multimodal", + "nlp", + "pre-trained" + ] } } \ No newline at end of file diff --git a/database/pipeline.pkl b/database/pipeline.pkl index f6a3844..fc0cb27 100644 --- a/database/pipeline.pkl +++ b/database/pipeline.pkl @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:32cf41ef3c95171475030403475543b66af8147df09b2fa316c23bfa7dd66f21 -size 139455636 +oid 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"information-retrieval", + "tail": "boilerplate" + }, + { + "head": "language-model", + "tail": "template" + }, + { + "head": "language-model", + "tail": "latex-template" + }, + { + "head": "language-model", + "tail": "boilerplate" + }, + { + "head": "template", + "tail": "latex-template" + }, + { + "head": "template", + "tail": "boilerplate" + }, + { + "head": "latex-template", + "tail": "boilerplate" + }, + { + "head": "machine-learning", + "tail": "pre-trained" + }, + { + "head": "software2", + "tail": "pre-trained" + }, + { + "head": "software2", + "tail": "neural" + }, + { + "head": "software2", + "tail": "framework" + }, + { + "head": "neural-network", + "tail": "pre-trained" + }, + { + "head": "neural-network", + "tail": "neural" + }, + { + "head": "neural-network", + "tail": "framework" + }, + { + "head": "onnx", + "tail": "pre-trained" + }, + { + "head": "onnx", + "tail": "neural" + }, + { + "head": "onnx", + "tail": "framework" + }, + { + "head": "protobuf", + "tail": "pre-trained" + }, + { + "head": "protobuf", + "tail": "neural" + }, + { + "head": "protobuf", + "tail": "framework" + }, + { + "head": "gorgonia", + "tail": "pre-trained" + }, + { + "head": "gorgonia", + "tail": "neural" + }, + { + "head": "gorgonia", + "tail": "framework" + }, + { + "head": "go", + "tail": "pre-trained" + }, + { + "head": "go", + "tail": "neural" + }, + { + "head": "go", + "tail": "framework" + }, + { + "head": "open-source", + "tail": "pre-trained" + }, + { + "head": "open-source", + "tail": "neural" + }, + { + "head": "pre-trained", + "tail": "neural" + }, + { + "head": "pre-trained", + "tail": "framework" + }, + { + "head": "neural", + "tail": "framework" + }, + { + "head": "diffusion", + "tail": "nlp" + }, + { + "head": "diffusion", + "tail": "pre-trained" + }, + { + "head": "diffusion", + "tail": "predict" + }, + { + "head": "diffusion", + "tail": "images" + }, + { + "head": "diffusion", + "tail": "multi-modal" + }, + { + "head": "multimodal", + "tail": 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