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hrl

hrl-re

Joint Relation Extraction with Hierarchical Reinforcement Learning

iclr2017

Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"

iir

Machine Learning / Natural Language Processing / Information Retrieval

imdb-rnn-attention

Bidirectional GRU with attention mechanism on imdb sentimental analysis dataset

infersent

Sentence embeddings (InferSent) and training code for NLI.

interactive_annotation

recurrence of Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

inverse-compositional-stn

Inverse Compositional Spatial Transformer Networks (CVPR 2017)

is_that_a_duplicate_quora_question

isic2018

Code for the ISIC2018 Lesion Diagnosis Challenge

jieba

结巴中文分词

kaggle-2014-criteo

kaggle-quora-question-pairs

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

kaggle-quora-question-pairs-1

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

kaggle-quora-solution-8th

kcws

Deep Learning Chinese Word Segment

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

krd

Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"

l2t-ww

Learning What and Where to Transfer (ICML 2019)

labelfree-dnn-surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

lio

Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

luna16_multi_size_3dcnn

An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"

machinelearninglab

magpie

Deep neural network framework for multi-label text classification

matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

memdpc

[ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).