Simply #parallel jobs with #bash script

#Kuramoto model various implementation using #Python and #jitcode:
GitHub

#bash scripting
GitHub

#BrainPy is a lightweight framework based on the latest Just-In-Time (JIT) compilers. The goal of BrainPy is to provide a unified simulation and analysis framework for neuronal dynamics with the feature of high flexibility and efficiency.

https://brainpy.readthedocs.io/en/latest/

BrainPy-Models is based on BrainPy neuronal dynamics simulation framework. Here you can find neurons, synapses models and topological networks implemented with BrainPy.

https://brainpy-models.readthedocs.io/en/latest/

🔆 A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
☘️ GitHub
- Awesome C++
- Standard Libraries
- Frameworks
- Artificial Intelligence
- Asynchronous Event Loop
- Audio
- Biology
- BitTorrent
- Chemistry
- CLI
- Compression
- Concurrency
- Configuration
- Containers
- Cryptography
- CSV
- Database
- Debug
- Font
- Game Engine
- GUI
- Graphics
- Image Processing
- Internationalization
- Inter-process communication
- JSON
- Logging
- Machine Learning
- Math
- Memory Allocation
- Multimedia
- Networking
- PDF
- Physics
- Reflection
- Regular Expression
- Robotics
- Scientific Computing
- Scripting
- Serialization
- Sorting
- Video
- Virtual Machines
- Web Application Framework
- XML
- Miscellaneous
- Software
- Compiler
- Online Compiler
- Debugger
- Integrated Development Environment
- Build Systems
- Static Code Analysis
- Coding Style Tools
- Resources
- API Design
- Articles
- Books
- Coding Style
- Podcasts
- Talks
- Videos
- Websites
- Other Awesome Lists
- Contributing
#Cpp #C #application

Understand Data Structures in C and C++

Link

10 hours course
Youtube

Deep #Learning #course
https://github.com/hhaji/Deep-Learning

Quantitative #Economics with
#Python

Link

Here is where I start to learn #Machine_Learning:

The course is available here:
Machine Learning, Andrew Ng
The whole course can be downloaded from here at once.

GitHub for Exercises in #Python.
You can check the solution in "solution" branch in case.

After the Andrew Ng course I think this book is a good resource to learn #Tensorflow:
Machine Learning Using TensorFlow Cookbook, 2021

This website provides one of the most lightweight introductions to #machine_learning I have seen.

If I were to start learning #ML all over again, the structure and concepts covered in this resource would provide a good start.

got from Omarsar0

NetPyNE
#NetPyNE (Networks using #Python and #NEURON) is a Python package to facilitate the development, simulation, parallelization, analysis, and optimization of biological neuronal networks using the NEURON simulator.

Although NEURON already enables multiscale simulations ranging from the molecular to the network level, using NEURON for network simulations requires substantial programming, and often requires parallel simulations. NetPyNE greatly facilitates the development and parallel simulation of biological neuronal networks in NEURON for students and experimentalists. NetPyNE is also intended for experienced modelers, providing powerful features to incorporate complex anatomical and physiological data into models.
#simulator

A basic intro to stats for neuroscientists and all course materials are open here
Jupyter notebook slides & RISE with code to play around with to build an intuition for stats...

#neuroscience
#course