Introduction to Machine Learning Systems

2026 AI/ML internship & new graduate job list updated daily

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

Learning Deep Representations of Data Distributions

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

Code for "Can Graph Neural Network Learn to Explain Activity Cliffs?"

Code for "Detecting thermodynamic phase transition via explainable machine learning of photoemission spectroscopy"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Descriptor computation(chemistry) and (optional) storage for machine learning

Paper list for equivariant neural network

A library for graph deep learning research

Visualizing the network of math theories.

GraphFramEx: a systematic evaluation framework for explainability methods on GNNs

C++ Programming Tutorial in Chemistry

A collection of Hyper parameter tuning library.

rdkit总结与实践