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A library for directly calling PyTorch ML models from Fortran.
Contextual Analysis Tools for cryoET and subtomogram averaging
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Differentiable signal processing on the sphere for PyTorch
A modern and intuitive terminal-based text editor
Sanitize BibTeX files without going insane.
This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, …
What scientific programmers must know about CPUs and RAM to write fast code.
Examples of how to create colorful, annotated equations in Latex using Tikz.
helPME: an efficient library for particle mesh Ewald
Tutorial: Writing a "bare metal" operating system for Raspberry Pi 4
Sarasa Gothic / 更纱黑体 / 更紗黑體 / 更紗ゴシック / 사라사 고딕
The Single Sign-On Multi-Factor portal for web apps
Using LEGO EV3 MicroPyhton with MQTT
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识