Pinned Repositories
Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
CDEG
COMBO
Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
cs224n-a4
libpku
贵校课程资料民间整理
lite-bo
A lite Bayesian optimization library derived from SMAC3: https://github.com/automl/SMAC3
MOVER
NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
situated_gen
Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
yunx-z's Repositories
yunx-z/COMBO
Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
yunx-z/situated_gen
yunx-z/MOVER
yunx-z/NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
yunx-z/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
yunx-z/Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
yunx-z/CDEG
yunx-z/cs224n-a4
yunx-z/libpku
贵校课程资料民间整理
yunx-z/lite-bo
A lite Bayesian optimization library derived from SMAC3: https://github.com/automl/SMAC3
yunx-z/Question-Generation-Paper-List
A summary of must-read papers for Neural Question Generation (NQG)
yunx-z/soln-ml
A research framework for fast prototyping of automl algorithms.
yunx-z/score.github.io
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
yunx-z/Structural-Kernel-Learning-for-HDBBO
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
yunx-z/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
yunx-z/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
yunx-z/transformer-pytorch
A PyTorch implementation of Transformer in "Attention is All You Need"
yunx-z/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
yunx-z/yunx-z.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes