Pinned Repositories
DistML
DistML provide a supplement to mllib to support model-parallel on Spark
knn-transformers
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
RelationPrompt
This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.
Uni-ControlNet
[NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Jekelrary's Repositories
Jekelrary/DistML
DistML provide a supplement to mllib to support model-parallel on Spark
Jekelrary/knn-transformers
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
Jekelrary/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Jekelrary/RelationPrompt
This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.