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VHT's Projects

free icon free

Codes for the ICCV'21 paper "FREE: Feature Refinement for Generalized Zero-Shot Learning"

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富途行情交易开放接口, 详见 "Plugins\PluginLocalServer\bin\readme.txt"

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Implementation of Graph Convolutional Networks in TensorFlow

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Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

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Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

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Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.

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Simple & Effective Dimensionality Reduction for Word Embeddings. Presented at NIPS 2017 LLLD Workshop.

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction.

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Convolution Neural Network for classification of semantic relations in a sentence

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ACL 23: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

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JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation (LREC2020) & Linguistically Driven Multi-Task Pre-Training for Low-Resource Neural Machine Translation (ACM TALLIP)

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Release for ECAI 2020 paper "Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy"

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End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

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relation classification dataset

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Example code for paper "Distilling Knowledge from Well-informed Soft Labels for Neural Relation Extraction" (AAAI 2020).

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Efficient, Extensible kNN-MT Framework

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PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

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Leveraging Local and Global Patterns for Self-Attention Networks

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The official GitHub page for the survey paper "A Survey of Large Language Models".

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An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

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