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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The premier source of truth powering network automation. Open source under Apache 2. Try NetBox Cloud free: https://netboxlabs.com/free-netbox-cloud/
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Scan, index, and archive all of your paper documents
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
A best practice for tensorflow project template architecture.
Python library for loading and using triangular meshes.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Operate and manipulate physical quantities in Python
Persistent remote applications for X11; screen sharing for X11, MacOS and MSWindows.
A deep learning package for many-body potential energy representation and molecular dynamics
Mesh TensorFlow: Model Parallelism Made Easier
A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
MDAnalysis is a Python library to analyze molecular dynamics simulations.
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
Start Tensorboard in Jupyter Notebook
A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies
SchNet - a deep learning architecture for quantum chemistry
Custom Spawner for Jupyterhub to start servers in batch scheduled systems