So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

Ensemble classifiers and data scraping tools for the prediction of protein surface adsorption to single-walled carbon nanotubes

Course notes of STEM courses at the University of Washington (UW). Topics include chemical engineering, chemistry, and applied mathematics.

UW AMATH 301. Scientific computing and numerical methods for physical, biological, and engineering problems. Topics include root-finding, optimization, curve fitting, solving linear systems, singul…

UW CHEME 375 and applications in CHEME 310, 326. Chemical engineering scientific computing and numerical methods. Topics include curve fitting, balancing chemical equations, solving VLE problems, p…

A simple, elegant, and fast workflow to write resumes and CVs in Markdown.

Equation sheets of STEM courses at the University of Washington (UW). Topics include chemistry, physics, calculus, applied mathematics, and chemical engineering.

Introduction to Chemical Engineering Analysis

unet for image segmentation

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

An orbit simulation of a rocket/satellite launched from the Earth that performs Homann transfer and orbits around the Moon.