qianrenjian Goto Github PK
Type: User
Location: 北京
qianrenjian's Projects
a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
awesome-pytorch-list-cnversion
Awesome-pytorch-list 翻译工作进行中......
awesome-qa
😎 A curated list of the Question Answering (QA)
awesome-recsys
Must-read papers on recommendation systems (RecSys)
awesome-recsystem-models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
awesome-rl
Reinforcement learning resources curated
awesome-rspapers
Recommender System Papers
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
awesome-sentiment-analysis
Repository with all what is necessary for sentiment analysis and related areas
awesome-sentiment-analysis-papers
情感分析书籍、论文、实现、框架
awesome-text-summarization
Text summarization starting from scratch.
awesome-visual-representation-learning-with-transformers
Awesome Transformers (self-attention) in Computer Vision
awesome_chinese_medical_nlp
中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
awesomenlpbaseline
本项目是NLP领域一些任务的基准模型实现，包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。
ax
Adaptive Experimentation Platform
backbone
图像类深度学习比赛常用backbone
backgroundmattingv2
Real-Time High-Resolution Background Matting
bam
Bayesian Attention Modules
banditsum
This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.
bars
Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
basic_recommendation_algorithm
Include CF、Item2vec_python、LFM、PR used tf.
bayesian-neural-networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
bdc2019
高校赛2019 文本点击预测
bdc2019_top2
2019**高校大数据挑战赛-第二名解决方案
bdci2019-ner
BDCI2019-互联网金融新实体发现-第7名（可冲前3）
bdmf
DMF + BiasedSVD
beard
Bibliographic Entity Automatic Recognition and Disambiguation
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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