enricodetoma's Stars
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.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
r0f1/datascience
Curated list of Python resources for data science.
hmmlearn/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
libevm/subway
A practical example on how to perform sandwich attacks on Ethereum
dchest/tweetnacl-js
Port of TweetNaCl cryptographic library to JavaScript
bashtage/arch
ARCH models in Python
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
chronoxor/CppTrader
High performance components for building Trading Platform such as ultra fast matching engine, order book processor
amor71/LiuAlgoTrader
Framework for algorithmic trading
imbs-hl/ranger
A Fast Implementation of Random Forests
deeptime-ml/deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
quarkfin/qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
Boulder-Investment-Technologies/lppls
Library for fitting the LPPLS model to data.
przemek83/volbx
Graphical tool for data manipulation written in C++/Qt.
martinobdl/ITCH
Nasdaq Order Book Reconstructor
cristianpjensen/stock-market-prediction-via-google-trends
Attempt to predict future stock prices based on Google Trends data.
davidalbertonogueira/MLP
Simple multilayer perceptron c++ implementation.
popcorn/xgb2cpp
Converts XGBoost raw model dumps to C++ code.
EmbolismSoil/xgboostpp
将XGBoost c api封装成c++接口
hklchung/StockPricePredictor
An S&P500 Stock Index Movement Predictor built with Machine Learning models
lohithn4/stock-market-prediction
A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) has been carried out for Google Stock Market prediction using Yahoo and Google finance historical data.
ora600pl/rico2
This is open source project to map BBED functionality
ryancorywright/SparsePortfolioSelection.jl
Julia implementation of the algorithm described in the paper "A scalable algorithm for sparse portfolio selection" by Bertsimas and Cory-Wright
ryancorywright/ScalableSPCA.jl
Code accompanying the paper "Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality" by Bertsimas, Cory-Wright and Pauphilet
sdannyvi/AnytimePCA
A new greedy anytime algorithm for sparse PCA
titmy/eigen-portfolio-construction
praaline/praaline-dependencies
Third-party open source libraries and dependencies for building Praaline
Qxray-app/SingleApplication