Finrl LibraryFinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Stars: ✭ 3,037 (+2906.93%)
FinanceopsResearch in investment finance with Python Notebooks
Stars: ✭ 378 (+274.26%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (+240.59%)
Stock2vecVariational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Stars: ✭ 30 (-70.3%)
Thstrader量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)
Stars: ✭ 311 (+207.92%)
FinancepyA Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Stars: ✭ 416 (+311.88%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+2377.23%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (+61.39%)
DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (+54.46%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+862.38%)
ResearchNotebooks based on financial machine learning.
Stars: ✭ 714 (+606.93%)
Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (+600.99%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (+78.22%)
AlgorithmictradingThis repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
Stars: ✭ 157 (+55.45%)
Simfin TutorialsTutorials for SimFin - Simple financial data for Python
Stars: ✭ 150 (+48.51%)
AlphalensPerformance analysis of predictive (alpha) stock factors
Stars: ✭ 2,130 (+2008.91%)
Alpha Mindquantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Stars: ✭ 171 (+69.31%)
Pandas TaTechnical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+852.48%)
Finance playgroundJuypter notebooks playground to explore and analyse economy and finance ideas
Stars: ✭ 70 (-30.69%)
Cs224n 2019Stanford cs224n 2019 homework
Stars: ✭ 100 (-0.99%)
FiftyfizzbuzzesFifty different implementations of Fizzbuzz in Python.
Stars: ✭ 100 (-0.99%)
SequanaSequana: a set of Snakemake NGS pipelines
Stars: ✭ 100 (-0.99%)
DeepeegDeep Learning with Tensor Flow for EEG MNE Epoch Objects
Stars: ✭ 100 (-0.99%)
DadowareBrazilian-Portuguese word list and instructions booklet for Diceware
Stars: ✭ 100 (-0.99%)
TutorialsThis is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...
Stars: ✭ 100 (-0.99%)
Seesawfacenet pytorchoffical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124
Stars: ✭ 100 (-0.99%)
MachinelearningMachine learning and artificial intelligence
Stars: ✭ 99 (-1.98%)
Nn From ScratchImplementing a Neural Network from Scratch
Stars: ✭ 1,374 (+1260.4%)
Context augContext-driven data augmentation for Object Detection (ECCV'18)
Stars: ✭ 101 (+0%)
EuropilotA toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.
Stars: ✭ 1,366 (+1252.48%)
Fortran magicAn extension for IPython/Jupyter that helps to use Fortran in your interactive session.
Stars: ✭ 99 (-1.98%)
DopamineDopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Stars: ✭ 9,681 (+9485.15%)
Hass Deepstack FaceHome Assistant custom component for using Deepstack face recognition
Stars: ✭ 101 (+0%)
Text ClassificationAn example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
Stars: ✭ 100 (-0.99%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+11600.99%)
Hands On Machine LearningA series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Stars: ✭ 1,363 (+1249.5%)
Maps Location HistoryGet, Concatenate and Process you location history from Google Maps TimeLine
Stars: ✭ 99 (-1.98%)
Neural TangentsFast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+1243.56%)
AdvisorOpen-source implementation of Google Vizier for hyper parameters tuning
Stars: ✭ 1,359 (+1245.54%)
UncertaintynnImplementation and evaluation of different approaches to get uncertainty in neural networks
Stars: ✭ 101 (+0%)
Mish CudaMish Activation Function for PyTorch
Stars: ✭ 101 (+0%)
Data What NowAll codes from the DataWhatNow blog.
Stars: ✭ 100 (-0.99%)
Quant atPython version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders
Stars: ✭ 99 (-1.98%)
JunosautomationTo contain example scripts for different tools.
Stars: ✭ 99 (-1.98%)
Mxnet FinetunerAn all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
Stars: ✭ 100 (-0.99%)
Bayarea Dl SummerschoolTorch notebooks and slides for the Bay Area Deep Learning Summer School
Stars: ✭ 99 (-1.98%)
DeeplearningPython implementation of Deep Learning book
Stars: ✭ 99 (-1.98%)