Brainhack New York 2020
https://brainhack-ny.github.io/
https://brainhack-ny.github.io/
#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/
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
☘️ 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
- 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
GitHub
GitHub - fffaraz/awesome-cpp: A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired…
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. - fffaraz/awesome-cpp
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.
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.
Coursera
Supervised Machine Learning: Regression and Classification
In the first course of the Machine Learning ... Enroll for free.
After the Andrew Ng course I think this book is a good resource to learn #Tensorflow:
Machine Learning Using TensorFlow Cookbook, 2021
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
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