466 Open source projects that are alternatives of or similar to mlearn

This library tackles the construction and efficient execution of computational chemistry workflows

A curated list of science- and engineering related repositories on GitHub and in neighboring counties

Chemistry, Gamified

A library for using chemistry in your applications

Periodum: An Interactive, Open-Source Periodic Table!

Atomic - Periodic Table

Python package providing some useful tools when dealing with molecules and materials under periodic boundary conditions and uniform grids. This is a mirror of https://gitlab.com/ales.genova/pbcpy

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

Proton Exchange Membrane (PEM) Fuel Cell Dataset

chemical graph theory library for JavaScript

Python Materials Discovery Framework

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Molecular dynamics simulation software

A library of free open source icons for science illustrations in biology and chemistry

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Periodic elements data

G Code Language Extension for Visual Studio Code. Turn VSCode into a fully capable G-Code editor, including language support & more.

Presentation about digital lab journalling with Git

An easy-to-use way for running Galaxy workflows.

eLife is an open-access journal and technology provider that publishes promising research in the life and biomedical sciences. This is their implementation of a submission and peer review system based on Coko PubSweet and xPub.

Fermi quantum chemistry program

📓📲 Flutter app for managing study materials in form of photos.

Butler is a framework for running scientific workflows on public and academic clouds.

Library for reading and writing Photoshop PSD and PSB files

SHARE is building a free, open, data set about research and scholarly activities across their life cycle.

Ember Addon for interacting with the Open Science Framework

A brian2 extension to simulate spiking neural networks on GPUs

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Library of PH5 clients, apis, and utilities

Making Patent Citations Uncool Again

💻📖 Programcıların faydalı bulacağı yasalar, teoriler, prensipler ve desenler. #hackerlaws

organic chemistry reaction prediction using NMT with Attention

Deep learning for molecules and materials book

a payment application intended for deployment by the united states treasury

Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59

PeakUtils mirror from bitbucket.

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

active learning for accelerated high-throughput virtual screening

A Python CAS library

GUI for OPEM library

Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

Learn the basics of chemistry doing the tests and using the periodic table

Tools for atmospheric research

Collection of scripts for bacterial genomics

A better tiling script for Neural-Style

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

Benzina is an image-loader package that greatly accelerates image loading onto GPUs using their built-in hardware codecs.

Scientific and statistical computing with Rust.

Diffcalc: a diffraction condition calculator for X-ray or neutron diffractometer control

Learning materials for scientific software development

A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.

Allows any machines and robots to be controlled by G-Code

Chemical Structure Builder with Swift & iOS ⚛️🧪

In n-back task you need to remember n previous spatial or auditory stimuli. N-back is a memory test where n refers on how many previous stimuli must be remembered. Dual means that verbal auditory stimulus and spatial visual stimulus are presented at the same time and must be remembered separately.

The JavaScript heart of Spectral Workbench; a Public Lab project to record, manipulate, and analyze spectrometric data.

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Introduction to Data Science with R

Elementary Multiperspective Material Ontology (EMMO)

QUICK: A GPU-enabled ab intio quantum chemistry software package

A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.