Top Python Frameworks & Libraries for science 84
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas...
A Python framework for creating reproducible, maintainable and modular data science code.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work....
:rocket: Build and manage real-life data science projects with ease!
Toturials coming with the "data science roadmap" picture.
common data analysis and machine learning tasks using python
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data....
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of ar...
Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/...
PSLab for ExpEYES - Science Experiments and Data Acquisition for Physics Education https://pslab.io
Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等...
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research...
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Source Code for the Book Classic Computer Science Problems in Python