a0812206523
Popular repositories Loading
-
-
-
xgboost
xgboost PublicForked from dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
C++
-
LightGBM
LightGBM PublicForked from microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks…
C++
-
TADW
TADW PublicForked from yangchengbupt/TADW
code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"
MATLAB
-
Repositories
- awesome-bert Public Forked from aabbcc0812206523/awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
a0812206523/awesome-bert’s past year of commit activity - awesome-graph-embedding Public Forked from aabbcc0812206523/awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
a0812206523/awesome-graph-embedding’s past year of commit activity - personalized-matching Public Forked from aabbcc0812206523/personalized-matching
面向电信行业存量用户的智能套餐个性化匹配模型 (XGBoost 0.8254)
a0812206523/personalized-matching’s past year of commit activity - Tensorflow-Tutorial Public Forked from yongyehuang/Tensorflow-Tutorial
Some interesting TensorFlow tutorials for beginners.
a0812206523/Tensorflow-Tutorial’s past year of commit activity - Sequence-Semantic-Embedding Public Forked from eBay/Sequence-Semantic-Embedding
Tools and recipes to train models and build services for NLP tasks such as classification, search ranking, cross-lingual information retrieval, and question answering etc.
a0812206523/Sequence-Semantic-Embedding’s past year of commit activity
People
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Most used topics
Loading…