163 Open source projects that are alternatives of or similar to PyTherm-applied-thermodynamics

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

Clapeyron (formerly OpenSAFT) provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation. This project is a Python interface to NeqSim.

🗂 Source code for The Vue 2 Master Class

DevOps with Docker course by the University of Helsinki, Course material

A course in reinforcement learning in the wild

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Interactive tutorials developed with the learnr package supporting the textbook OpenIntro::Introduction to Modern Statistics.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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Course notes for Data Science related topics, prepared in LaTeX

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The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

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Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering

All contents from the course MAC0460 - An introduction to machine learning

Tutorial Series (60 hour course): Essentials of computer vision

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

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The Kilo editor in modern C++

DL course co-developed by YSDA, HSE and Skoltech

Course material for the DevOps with Kubernetes free MOOC by the University of Helsinki

Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

😎 All the required resources to build your own startup

Intermediate course introducing Object Oriented Programming (OOP) principles applied to the Java language. Recommend to learners with previous experience.

电子科技大学资源共享平台, This repository contains the course materials of University of Electronic Science and Technology of China.

Page of the course "Competitive Programming and Contests" at Department of Computer Science, University of Pisa

DSCI-633: Foundations of Data Science https://github.com/hil-se/fds

[W.I.P] A Just-In-Time Java Virtual Machine written in Haskell

Course material and references for Campus To Corporate course, 2017.

Scala for Statistical Computing and Data Science Short Course

Material for the Java 2019 courses owned and operated by HIT club

Course on Development Tools (in Russian)

Structured Programming, Object-oriented Programming (COM 118, 119)

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering

The examples for the course on advanced programming for scientific computing (aka PACS), Politecnico di Milano

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

commits made while instructing EECS 1720 (winter 2022) (course @york University, Canada) - live content will be cleaned, edited, and described in logfile and code comments each week on Thursday

🗂Source code for the Vuex for Everyone course

Data Science and Matrix Optimization course

course materials for introduction to deep learning 2020

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

My lecture notes and other course materials

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1st time TAing for CS110 at Stanford: Principles of Computer Systems? - Stars are appreciated :)

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Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

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