yangzhou12

segment-anything-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

UrFound

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

MedRPG

NCRL

Implementation of None Class Ranking Loss for Document-Level Relation Extraction

singa

a distributed deep learning platform

AlphaCLIP

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

llama

Inference code for Llama models

wikiextractor

A tool for extracting plain text from Wikipedia dumps

autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

ATLOP

Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

RE-Context-or-Names

Bert-based models(BERT, MTB, CP) for relation extraction.

DRKG

A knowledge graph and a set of tools for drug repurposing

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

DeepClustering

Methods and Implements of Deep Clustering

tkbi

MHGRN

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

KGE

Some papers on Knowledge Graph Embedding(KGE)

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现