Pinned Repositories
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
cs224n
the code of assignment in cs224n
cs234_reinforcement_learning
the assignment of http://web.stanford.edu/class/cs234/index.html
nn4nlp-code-pytorch
A pytorch version of CMU CS 11-747 example
paper_reading
paper reading and implementation
Practical_RL
A course in reinforcement learning in the wild
style_transfer
the assignment 2 of http://web.stanford.edu/class/cs20si/
category_encoders
A library of sklearn compatible categorical variable encoders
spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
spark-MDLP-discretization
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
hbghhy's Repositories
hbghhy/cs234_reinforcement_learning
the assignment of http://web.stanford.edu/class/cs234/index.html
hbghhy/nn4nlp-code-pytorch
A pytorch version of CMU CS 11-747 example
hbghhy/paper_reading
paper reading and implementation
hbghhy/Practical_RL
A course in reinforcement learning in the wild
hbghhy/style_transfer
the assignment 2 of http://web.stanford.edu/class/cs20si/
hbghhy/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
hbghhy/coursera_spark
hbghhy/nn4nlp-code
Code Samples from Neural Networks for NLP
hbghhy/practical-oxford-cs-deepnlp-2017
hbghhy/Practical_DL
DL course co-developed by HSE, YSDA and Skoltech
hbghhy/BiNE
BiNE: Bipartite Network Embedding
hbghhy/categorical-encoding
A library of sklearn compatible categorical variable encoders
hbghhy/course-v3
The 3rd edition of course.fast.ai
hbghhy/coursera-Functional-Programming-in-Scala-Capstone
scala
hbghhy/cs20_tensorflow
hbghhy/cs231_cv
hbghhy/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
hbghhy/folly
An open-source C++ library developed and used at Facebook.
hbghhy/hbghhy
Config files for my GitHub profile.
hbghhy/homework
Assignments for CS294-112.
hbghhy/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
hbghhy/kaggle-past-solution-reproduce
hbghhy/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
hbghhy/myLDA
LDA
hbghhy/nlp_course
YSDA course in Natural Language Processing
hbghhy/spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
hbghhy/spark-MDLP-discretization
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
hbghhy/spinningup
An educational resource to help anyone learn deep reinforcement learning.
hbghhy/tutorials
hbghhy/Unbiased_LambdaMart
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM