Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- causal-inference
- python
- causality
- data-science
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Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
🚀 A curated and opinionated list of resources (English & Russian) for Backend developers | Структурированный список ресурсов для изучения Backend разработки
:earth_americas: machine learning tutorials (mainly in Python3)
A desktop application for viewing and analyzing tabular data
A Code-First Introduction to NLP course
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
GeoAI: Artificial Intelligence for Geospatial Data
GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.
Hidden Markov Models in Python, with scikit-learn like API
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
Code repository for O'Reilly book
论文写作与资料分享
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
Now, Stronger AI Pushes Frontiers, Stronger Our Shared Future.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
AI for Science 论文解读合集(持续更新ing),论文/数据集/教程下载:hyper.ai
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Koalas: pandas API on Apache Spark
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Symfony polyfill for intl's idn_to_ascii and idn_to_utf8 functions