florian-hartl

florian-hartl's Stars

• csinva/imodels

  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  Language:Jupyter Notebook1.4k124

• gpakosz/.tmux

  🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

  Language:Shell22.1k3.4k

• 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.

  Language:Python7.1k935

• huggingface/transformers

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

  Language:Python136k27.1k

• bw2/ConfigArgParse

  A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.

  Language:Python730121

• wayfair/pylift

  Uplift modeling package.

  Language:Python37278

• amundsen-io/amundsen

  Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

  Language:Python4.5k960

• uber/h3

  Hexagonal hierarchical geospatial indexing system

  Language:C4.9k470

• igushev/city_visit_planner

  Language:Python14618

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k399

• pywren/pywren

  Teraflops and microservices

  Language:Python848102

• marcotcr/anchor

  Code for "High-Precision Model-Agnostic Explanations" paper

  Language:Jupyter Notebook799114

• facebookresearch/pytext

  A natural language modeling framework based on PyTorch

  Language:Python6.3k802

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10k1.5k

• nteract/papermill

  📚 Parameterize, execute, and analyze notebooks

  Language:Python6k430

• nteract/nteract

  📘 The interactive computing suite for you! ✨

  Language:TypeScript6.2k551

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.9k4.2k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k1.8k

• quiltdata/quilt

  Quilt is a data mesh for connecting people with actionable data

  Language:TypeScript1.3k90

• apple/foundationdb

  FoundationDB - the open source, distributed, transactional key-value store

  Language:C++14.6k1.3k

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k395

• airbnb/omniduct

  A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).

  Language:Python25546

• vega/vega-lite

  A concise grammar of interactive graphics, built on Vega.

  Language:TypeScript4.7k617

• vega/ipyvega

  IPython/Jupyter notebook module for Vega and Vega-Lite

  Language:Jupyter Notebook37565

• deeppavlov/DeepPavlov

  An open source library for deep learning end-to-end dialog systems and chatbots.

  Language:Python6.7k1.2k

• amazon-archives/amazon-dsstne

  Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

  Language:C++4.4k729

• ShopRunner/jupyter-notify

  A Jupyter Notebook magic for browser notifications of cell completion

  Language:Python58040

• 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.

  Language:C++16.7k3.8k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.5k22.8k

• sailing-pmls/bosen

  Parallel ML System - Bosen project

  Language:C++962290