letsjdosth's Stars
gohugoio/hugo
The world’s fastest framework for building websites.
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
microsoft/vcpkg
C++ Library Manager for Windows, Linux, and MacOS
google/or-tools
Google's Operations Research tools:
Integerous/goQuality-dev-contents
{ 고퀄리티 :zap: 개발 컨텐츠 모음 }
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
fpinscala/fpinscala
Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"
lava/matplotlib-cpp
Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
kachayev/fn.py
Functional programming in Python: implementation of missing features to enjoy FP
EntilZha/PyFunctional
Python library for creating data pipelines with chain functional programming
rstudio/reticulate
R Interface to Python
Music-and-Culture-Technology-Lab/omnizart
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
kaist-cp/cs431
fp-tower/foundations
Foundations of Functional Programming in Scala is a comprehensive, self-paced online course with no prerequisites, which helps you to become a confident, productive, and powerful functional Scala developer.
cloudhan/jax-windows-builder
A community supported Windows build for jax.
brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
nickpoison/tsa4
R code for Time Series Analysis and Its Applications, Ed 4
lavinei/pybats
Bayesian time series forecasting and decision analysis
sphilee/functional-programming-jargon
Jargon from the functional programming world in simple terms!
stocnet/rsiena
An R package for Simulation Investigation for Empirical Network Analysis
hhoeflin/hdf5r
statnet/Workshops----OBSOLETE
Public materials for Statnet Workshops
tommasorigon/GBClust
An R package performing generalized Bayes clustering
cran/DPpackage
:exclamation: This is a read-only mirror of the CRAN R package repository. DPpackage — Bayesian Nonparametric Modeling in R. Homepage: http://www.mat.puc.cl/~ajara
ackmanlab/pySEAS
Python Signal Extraction And Segmentation for neural signal video data
jamesbrownlow/tolerance_python
Python library for tolerance intervals. Derived from: Derek S. Young (2010). tolerance: An R Package for Estimating Tolerance Intervals. Journal of Statistical Software, 36(5), 1-39. URL http://www.jstatsoft.org/v36/i05/.