20161105421 Goto Github PK

aaai_2019_exam

Official implementation of "Explicit Interaction Model towards Text Classification"

aapr

Automatic Academic Paper Rating: Data and Model (ACL 2018)

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

aca4nmt

Code of a novel model for NMT

ai_tutorial

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

alpaca-lora

Instruct-tune LLaMA on consumer hardware

amoro

Amoro is a Lakehouse management system built on open data lake formats.

attnsleep

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

awesome-ai-agents

A list of AI autonomous agents

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

bert-multi-label-text-classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

bert-nmt

bert4keras

keras implement of transformers for humans

bert_smp2020-ewect

在SMP2020的微博情绪分类任务上，微调在中文预料上预训练的BERT模型，进行文本分类。

blurbgenrecollection-hmc

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

bulian

Streamlit Application for Analyzing Bundesliga Data

capsule_text_classification

chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

classifier_multi_label_seq2seq_attention

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

cnle

Official code release for CNLE: Co-attention network with label embedding for text classification. Neurocomputing 2022

contextualized-topic-models

A python package to setup topic classification fine-tuning, run contextualized topic modeling, and run TCCTMs

cubert

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

deconvdec

Code for "Deconvolution-Based Global Decoding for Neural Machine Translation" (COLING 2018).

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dien

distributional-signatures

Few-shot Text Classification with Distributional Signatures

ea-ckgqa

基于知识图谱的中文问答系统（EA-CKGQA）

eclipse

eda_nlp_for_chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。