Pinned Repositories
Ad-papers
Papers on Computational Advertising
AIStartups
Startups about artificial intelligence. (DM, ML, NLP, CV...)
causalml
methodology on causal inference
hands_on_Ml_with_Sklearn_and_TF
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
how-to
How-Tos for GraphLab Create
JustEnoughScalaForSpark
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
mlalgo
nlp_course
YSDA course in Natural Language Processing
lotuski's Repositories
lotuski/Ad-papers
Papers on Computational Advertising
lotuski/AIStartups
Startups about artificial intelligence. (DM, ML, NLP, CV...)
lotuski/causalml
methodology on causal inference
lotuski/hands_on_Ml_with_Sklearn_and_TF
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
lotuski/how-to
How-Tos for GraphLab Create
lotuski/JustEnoughScalaForSpark
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
lotuski/leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
lotuski/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
lotuski/mlalgo
lotuski/nlp_course
YSDA course in Natural Language Processing
lotuski/pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记