hbghhy's repositories
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/
nn4nlp-code
Code Samples from Neural Networks for NLP
Practical_DL
DL course co-developed by HSE, YSDA and Skoltech
BiNE
BiNE: Bipartite Network Embedding
categorical-encoding
A library of sklearn compatible categorical variable encoders
course-v3
The 3rd edition of course.fast.ai
hbghhy
Config files for my GitHub profile.
homework
Assignments for CS294-112.
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
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.
myLDA
LDA
nlp_course
YSDA course in Natural Language Processing
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)
spinningup
An educational resource to help anyone learn deep reinforcement learning.
Unbiased_LambdaMart
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM