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18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
A technical report on convolution arithmetic in the context of deep learning
Deep Learning for Natural Language Processing - Lectures 2023
GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
Graph Neural Network Library for PyTorch
S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/
A Python module for use with Elsevier's APIs: Scopus, ScienceDirect, others.
A python library that implements the Crossref API.
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
SciRepEval benchmark training and evaluation scripts
An annotated literature corpus for NLP studies of 'Disease Research State' based on different categories of research.
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings (EMNLP 2022 paper)
Documentation for Crossref's REST API. For questions or suggestions, see https://community.crossref.org/
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The PyTorch implementation of the transformer for machine translation.
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.