martinsotir's Stars
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
Minyus/pipelinex
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
Stonesjtu/pytorch_memlab
Profiling and inspecting memory in pytorch
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
microsoft/vscode
Visual Studio Code
microsoft/PowerToys
Windows system utilities to maximize productivity
geopandas/geopandas
Python tools for geographic data
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.
alegonz/baikal
A graph-based functional API for building complex scikit-learn pipelines.
dovpanda-dev/dovpanda
Directions overlay for working with pandas in an analysis environment
microsoft/vscode-python
Python extension for Visual Studio Code
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pytorch/captum
Model interpretability and understanding for PyTorch
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
r0f1/datascience
Curated list of Python resources for data science.
koaning/scikit-lego
Extra blocks for scikit-learn pipelines.
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
digantamisra98/Mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
onnx/onnx
Open standard for machine learning interoperability
chainer/chainer
A flexible framework of neural networks for deep learning
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
marrrcin/pandas-feature-union
Use Pandas DataFrame with scikit-learn Pipelines and Feature Unions
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
microsoft/pyright
Static Type Checker for Python
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
mlflow/mlflow
Open source platform for the machine learning lifecycle