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Elias 's starred repositories

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.0131004 1116 15532

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

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OpenBBTerminal

Investment Research for Everyone, Everywhere.

Language:PythonNOASSERTION26621 258 2032

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Language:PythonMIT22490 1266 100

zipline

Zipline, a Pythonic Algorithmic Trading Library

Language:PythonApache-2.017421 1006 984

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Language:Python17390 691 66

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.

Language:Jupyter NotebookNOASSERTION16315 462 322

backtrader

Python Backtesting library for trading strategies

Language:PythonGPL-3.013845 6070

statsmodels

Statsmodels: statistical modeling and econometrics in Python

Language:PythonBSD-3-Clause9925 282 5421

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language:PythonBSD-2-Clause8387 143 334

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonAGPL-3.08168 282 22

darts

A python library for user-friendly forecasting and anomaly detection on time series.

Language:PythonApache-2.07827 59 1509

jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Language:PythonMIT6556 71 673

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

Language:Jupyter NotebookAGPL-3.05480 141 14

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

Language:Jupyter NotebookGPL-3.04017 254 95

arctic

High performance datastore for time series and tick data

Language:PythonLGPL-2.13044 173 556

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Language:PythonMIT2768 51 109