xy-always

xy-always's Stars

• zhaogaofeng611/TextMatch

  基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）

  Language:Python791148

• luffy06/retriever-lib

  Language:Python11

• RUC-NLPIR/FlashRAG

  ⚡FlashRAG: A Python Toolkit for Efficient RAG Research

  Language:Python1.6k136

• kaisugi/entity-related-papers

  Named Entity Recognition, Entity Linking, and more

  987

• GeorgeBatch/TCGA-lung-histology-download

  Downloading and Creating labels for the TCGA lung Whole Slide Images

  Language:Jupyter Notebook104

• mandanasmi/TCGA_Benchmark

  TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome

  Language:Jupyter Notebook135

• mdozmorov/TCGAsurvival

  Scripts to analyze TCGA data

  Language:R11643

• viddexa/autollm

  Ship RAG based LLM web apps in seconds.

  Language:Python97894

• juncongmoo/pyllama

  LLaMA: Open and Efficient Foundation Language Models

  Language:Python2.8k309

• luffy06/NFL

  [VLDB 2022] NFL: Robust Learned Index via Distribution Transformation

  Language:C++194

• abachaa/MEDIQA2019

  Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

  Language:Python5119

• tensorflow/ranking

  Learning to Rank in TensorFlow

  Language:Python2.8k476

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.3k777

• pmorerio/dl-uncertainty

  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

  Language:Python21036

• xiangking/ark-nlp

  A private nlp coding package, which quickly implements the SOTA solutions.

  Language:Python29064

• ryanjdew/marklogic-entity-extraction

  This project uses MarkLogic to mark entities, with SNOMED and RXNORM data as the example

  Language:XQuery71

• Epiphqny/Multiple-instance-learning

  Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

  Language:Python13223

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python722132

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k382

• malllabiisc/CompGCN

  ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

  Language:Python605108

• jingyang2017/KD_SRRL

  Language:Python457

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.7k1.9k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.2k2.1k

• shengyp/doing_the_PhD

  2.1k265

• ymcui/Chinese-XLNet

  Pre-Trained Chinese XLNet（中文XLNet预训练模型）

  Language:Python1.7k280

• sz128/pretrained_word_embeddings

  It is about how to load and aggregate pretrained word embeddings in pytorch, e.g., ELMo\BERT\XLNET.

  Language:Python123

• clinicalml/embeddings

  Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

  Language:Python24577

• cuhksz-nlp/AESINER

  Language:Python326

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k2k

• glados-network/GLaDOS

  status of GLaDOS

  2.5k335