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Xiwen.HE's Projects

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

asgd icon asgd

Averaged Stochastic Gradient Descent Classifiers

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

ccf-deadlines icon ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

chinesener icon chinesener

A neural network model for Chinese named entity recognition

coflow-benchmark icon coflow-benchmark

Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.

coflowsim icon coflowsim

Flow-level simulator for coflow scheduling used in Varys and Aalo

consert icon consert

Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

cs229 icon cs229

Apply reinforcement on Ads Pacing Optimization

dbscan icon dbscan

DBSCAN for various Distance calculate methods

dbscan-1 icon dbscan-1

Python implementation of 'Density Based Spatial Clustering of Applications with Noise'

decima-sim icon decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deep-ctr-prediction icon deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep_learning_estimator_labels icon deep_learning_estimator_labels

深度学习,针对多目标任务,在推荐算法的ctr预估等场景中的应用,项目使用tensorflow estimator进行封装,包括esmm、mmoe模型

deeplearning-500-questions icon 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

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