shaoyn0817's repositories
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
attention-learn-to-route
Attention based model for learning to solve different routing problems
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
bert_language_understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
co-ml-papers
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告CTR预估模型)
dist_tuto.pth
PyTorch Distributed Tutorial
DL-NLP-Readings
My Reading Lists of Deep Learning and Natural Language Processing
ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
erl_paper_nips18
Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018
evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
HRL-RE
Joint Relation Extraction with Hierarchical Reinforcement Learning
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Named-Entity-Recognition-NER-Papers
An elaborate and exhaustive paper list for Named Entity Recognition (NER)
neural-rewriter
Learning to Perform Local Rewriting for Combinatorial Optimization
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
NMT_GAN
generative adversarial nets for neural machine translation
option-critic-arch
Implementation of the Option-Critic Architecture
PlatEMO
Evolutionary multi-objective optimization platform
pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,
seqGAN-1
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等