Uplift modeling and causal inference with machine learning algorithms
- incubation
- machine-learning
- causal-inference
- uplift-modeling
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Uplift modeling and causal inference with machine learning algorithms
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Python module that makes working with XML feel like you are working with JSON
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Create and modify Word documents with Python
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Superduper: End-to-end framework for building custom AI applications and agents.
NVIDIA cuML: GPU-Accelerated Machine Learning
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.
🖥️ Session manager for tmux, built on libtmux.
Installs the latest UMU/GE-Proton and Non Steam Launchers under 1 Proton prefix folder and adds them to your steam library. Installs... Battle.net, Epic Games, Ubisoft, GOG, EA App, Amazon Games, itch.io , Legacy Games, The Humble Games Collection, IndieGala, Rockstar Games Launcher,PS Plus, Glyph, VKPlay & HoYoPlay, Waydroid and Games on SD Card.
Build powerful, efficient, and flexible GraphQL APIs with seamless Django integration.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Configuration Management for Python ⚙
modular quant framework.
A Python implementation of John Gruber’s Markdown with Extension support.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Module for automatic summarization of text documents and HTML pages.
Create Open XML PowerPoint documents in Python