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lijiazhen1994's Projects

algorithm icon algorithm

C++ algorithm , codeforces , bestcoder , leetcode ...

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

atda icon atda

Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation

ccsa icon ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

dae_mnist_classification icon dae_mnist_classification

DenoisingAutoEncoder For MNIST Classification.I use one-layer denoising autoencoder to extract the feature;Then use a softmax regression to classify the dataset.It can get an accuracy about 92%.

deepcoral icon deepcoral

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

deepsense icon deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

domain_adaptation icon domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.

efinance icon efinance

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀

entity-relation-extraction icon entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

finch icon finch

Lots of My (Machine Learning) Implementations based on TensorFlow / PyTorch (Keep Updating)

gumbel icon gumbel

Gumbel-Softmax Variational Autoencoder with Keras

hhar-data-process icon hhar-data-process

Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"

information-extraction-chinese icon information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

kb2e icon kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

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