知凡's repositories
deeplearning-doc
深度学习相关资料
anago
Sequence Labeling Library using Keras. Easy-to-use and state-of-the-art performance.
awesome-hyperparams
A curated list of awesome hyperparameters for deep learning
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
casual-digressions
深度学习相关资料 Interesting readings
CCL_CMRC2017
第一届“讯飞杯”中文机器阅读理解评测参考模型
conceptnet5
Code for building ConceptNet from raw data.
cpp-lru-cache
Simple and reliable LRU cache for c++ based on hashmap and linkedlist
CVPR-2017-Abstracts-Collection
Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments
DKRL
Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)
DuReader
Baseline Systems of DuReader Dataset
entity-linking-with-cnn
Based on the model of Yaming Sun et al. at IJCAI 2015
Fast-TransX
An Efficient implementation of TransE and its extended models for Knowledge Representation Learning
FEL
Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.
iclr2017
Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
KG-Literatures-Repo
Data Intelligence and Systems
KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
models
Model configurations
NRLPapers
Must-read papers on network representation learning (NRL)/network embedding (NE)
redislite
Redis in a python module
sent2vec
General purpose unsupervised sentence representations
sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
simpler_glove
A Simpler GloVe model for distributed word representation
skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
unsupervised-vocabulary-search
完整的新词发现&词库构建例子