Pinned Repositories
ATG
Official code for our paper "An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction" which will be published at AAAI 2024.
EnriCo
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction
Filtered-Semi-Markov-CRF
Code for our paper accepted at EMNLP 2023 (Findings)
GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
GNNer
Code for "GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks"
graph-neural-nets
Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)
GraphER
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
molgen
Molecule SMILES generation with GAN and Reinforcement Learning (Training Language GAN from scratch)
semi-supervised-learning
Semi-supervised learning tutorial in pytorch (pseudio label, Pi model, mean teacher, FixMatch, UDA)
span-structured-prediction
Repository for my research on span-based structured prediction for information extraction
urchade's Repositories
urchade/GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
urchade/GraphER
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
urchade/ATG
Official code for our paper "An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction" which will be published at AAAI 2024.
urchade/graph-neural-nets
Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)
urchade/EnriCo
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction
urchade/Filtered-Semi-Markov-CRF
Code for our paper accepted at EMNLP 2023 (Findings)
urchade/GNNer
Code for "GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks"
urchade/span-structured-prediction
Repository for my research on span-based structured prediction for information extraction
urchade/DyREx
DyREx: Dynamic Query Representation for Extractive Question Answering, accepted at ENSLP@NeurIPS2022
urchade/HNER
Hierarchical Transformer Model for Scientific Named Entity Recognition
urchade/struct_ie
Structured information extraction with LLMs
urchade/GLiClass
Generalist and Lightweight Model for Text Classification
urchade/DyREF
DyReF: Extractive Question Answering with Dynamic Query Representation for Free
urchade/gliner-spacy
A spaCy wrapper for GliNER
urchade/global-span-selection
urchade/synthetic_attention
urchade/ACLToolBox
urchade/assignments
urchade/byte_search
Byte-level search engine
urchade/camel
š« CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
urchade/dspy
DSPy: The framework for programmingānot promptingāfoundation models
urchade/lstm-neural-machine-translation
Simple implementation of Neural Machine translation with pytorch
urchade/nono
urchade/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
urchade/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
urchade/spaneval
span metrics (precision, recall, f1_score)
urchade/swarms
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
urchade/transformers
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
urchade/universal-ner
urchade/urchade.github.io
Personal website.