A fast, effective data attribution method for neural networks in PyTorch

Uplift modeling and causal inference with machine learning algorithms

system-design-primer 繁體中文翻譯計畫。原作者：https://github.com/donnemartin/system-design-primer

In which I play with the ideas surrounding causality

EconML/CausalML KDD 2021 Tutorial

DOGE trading bot for instantly buying and selling DOGE cryptocurrency on Binance when Elon Musk tweets about it.

Python Data Science Handbook: full text in Jupyter Notebooks

A (concise) curated list of awesome Causal Inference resources.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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

Public facing notes page

Deep universal probabilistic programming with Python and PyTorch

A study group related to GNN

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Data science interview questions and answers

Replicating AlphaGo's architecture in a readable manner

A Keras library for multi-step time-series forecasting.

System design interview for IT companies

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Resources for Data Science Process management

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

A game theoretic approach to explain the output of any machine learning model.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Time-series anomaly detection with Facebook Prophet library

A collection of research papers on decision, classification and regression trees with implementations.

Code for "CNN^2: Viewpoint Generalization via a Binocular Vision" (NeurIPS 2019)

文言文編程語言 A programming language for the ancient Chinese.

A unified framework for machine learning with time series

PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language