RoetGer's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
python-poetry/poetry
Python packaging and dependency management made easy
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
pycaret/pycaret
An open-source, low-code machine learning library in Python
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
joerick/pyinstrument
🚴 Call stack profiler for Python. Shows you why your code is slow!
online-ml/river
🌊 Online machine learning in Python
PipelineAI/pipeline
PipelineAI
matplotlib/mplfinance
Financial Markets Data Visualization using Matplotlib
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
snakemake/snakemake
This is the development home of the workflow management system Snakemake. For general information, see
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
domokane/FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
moj-analytical-services/splink
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
ropensci/drake
An R-focused pipeline toolkit for reproducibility and high-performance computing
esa/pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
tonyfischetti/assertr
Assertive programming for R analysis pipelines
pySTEPS/pysteps
Python framework for short-term ensemble prediction systems.
machinalis/featureforge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
MLBazaar/BTB
A simple, extensible library for developing AutoML systems
ostamand/tensorflow-tabnet
Improved TabNet for TensorFlow
jnmclarty/validada
Another library for defensive data analysis.
ryancheunggit/tensorflow2_model_zoo
explore tensorflow 2
adamoz/reinforcement_learning_workshop