hbghhy's repositories
hbghhy
Config files for my GitHub profile.
Unbiased_LambdaMart
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
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.
Practical_RL
A course in reinforcement learning in the wild
paper_reading
paper reading and implementation
spinningup
An educational resource to help anyone learn deep reinforcement learning.
BiNE
BiNE: Bipartite Network Embedding
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
homework
Assignments for CS294-112.
course-v3
The 3rd edition of course.fast.ai
nlp_course
YSDA course in Natural Language Processing
Practical_DL
DL course co-developed by HSE, YSDA and Skoltech
folly
An open-source C++ library developed and used at Facebook.
nn4nlp-code-pytorch
A pytorch version of CMU CS 11-747 example
nn4nlp-code
Code Samples from Neural Networks for NLP
categorical-encoding
A library of sklearn compatible categorical variable encoders
myLDA
LDA
cs234_reinforcement_learning
the assignment of http://web.stanford.edu/class/cs234/index.html
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.
style_transfer
the assignment 2 of http://web.stanford.edu/class/cs20si/
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
spark-MDLP-discretization
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)