leengsmile's Stars
EliotAndres/kaggle-past-solutions
A searchable compilation of Kaggle past solutions
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
automl/auto-sklearn
Automated Machine Learning with scikit-learn
HIPS/autograd
Efficiently computes derivatives of NumPy code.
ropensci/readODS
Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
jcjohnson/pytorch-examples
Simple examples to introduce PyTorch
PythonWorkshop/intro-to-tensorflow
This is an introduction to tensorflow
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
mila-iqia/welcome_tutorials
Various tutorials given for welcoming new students at MILA.
has2k1/plotnine
A Grammar of Graphics for Python
mlr-org/mlr
Machine Learning in R
tidyverse/dplyr
dplyr: A grammar of data manipulation
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
databricks/spark-csv
CSV Data Source for Apache Spark 1.x
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
microsoft/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.
PRML/PRMLT
Matlab code of machine learning algorithms in book PRML
imbs-hl/ranger
A Fast Implementation of Random Forests
scikit-learn-contrib/sklearn-pandas
Pandas integration with sklearn
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
qinwf/awesome-R
A curated list of awesome R packages, frameworks and software.
probml/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Emptyset110/dHydra
主要针对多数据源多策略实时计算的量化分析开发框架。提供新浪Level2等数据获取
offu/WeRoBot
WeRoBot 是一个微信公众号开发框架
yihui/r-ninja
R语言忍者秘笈
tidyverse/readxl
Read excel files (.xls and .xlsx) into R 🖇
svaksha/pythonidae
Curated decibans of scientific programming resources in Python.
DataTau/datascience-anthology-pydata
PyData, The Complete Works of