carsonpun's Stars
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
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
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
erincatto/box2d
Box2D is a 2D physics engine for games
nodemcu/nodemcu-firmware
Lua based interactive firmware for ESP8266, ESP8285 and ESP32
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
rushter/data-science-blogs
A curated list of data science blogs
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
tidyverse/dplyr
dplyr: A grammar of data manipulation
bqplot/bqplot
Plotting library for IPython/Jupyter notebooks
Rdatatable/data.table
R's data.table package extends data.frame:
srsran/srsRAN_4G
Open source SDR 4G software suite from Software Radio Systems (SRS) https://docs.srsran.com/projects/4g
linux-kernel-labs/linux-kernel-labs.github.io
jluttine/tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
ezhulenev/orderbook-dynamics
Modeling high-frequency limit order book dynamics with support vector machines
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
PyHDI/Pyverilog
Python-based Hardware Design Processing Toolkit for Verilog HDL
WinVector/zmPDSwR
Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)
greedo/python-xbrl
xbrl parser written in Python :bulb:
liuhua/nova
证券投资交易分析系统程序及文档资料
blei-lab/hdp
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
Kaggle/docker-rstats
Kaggle R docker image
trulia/choroplethr
choroplethr simplifies the creation of choropleths (thematic maps) in R
altova/sec-xbrl
XBRL.US Webinar: How to download and process SEC XBRL Data Directly from EDGAR
libsusa/susa
High Performance Computing (HPC) and Signal Processing Framework
bradlucas/get-yahoo-quotes-python
A Python script to download Yahoo quotes using the new cookie authorized site.
HIPS/firefly-monte-carlo
Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
hadley/l1tf
L1 trend filtering
ibnHatab/femto-henb
Femto HeNB simulator
stanford-ppl/OptiCVX
The pure-Scala IR components of OptiCVX