Jin Wang's repositories
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
nlp-class
A Natural Language Processing course taught by Professor Ghassemi
deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
Text-as-Data-Class-Spring-2018-
Lectures from my DS Text as Data course offered in Spring 2018.
gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
openstack
openstack documents
iNSFC
An awesome LaTeX template for NSFC proposal.
spark-gotchas
Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
adam
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
GPflow
Gaussian processes in TensorFlow
LightGBM
LightGBM is 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.
sketches-core
Core Sketch Library. See
ResultProcess
processing results in WhereIsOutlierScala
papers
Collection of papers
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CoolplaySpark
酷玩 Spark: Spark 源代码解析、Spark 类库等
spark
Mirror of Apache Spark
CodeInterview
Some questions from code interview
ggtech
ggplot2 tech themes, scales, and geoms
ggraph
Grammar of Graph Graphics