This is the Linux app named Karpathy-Inspired Claude Code Guidelines whose latest release can be downloaded as andrej-karpathy-skillssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Karpathy-Inspired Claude Code Guidelines with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
Karpathy-Inspired Claude Code Guidelines
DESCRIPTION:
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. This collection makes abstract theoretical ideas concrete by walking learners through real code and tangible outcomes, helping demystify parts of machine learning that often feel opaque in purely textbook settings.
Features
- Hands-on exercises inspired by Andrej Karpathy’s teaching
- Practical notebooks for neural network fundamentals
- Implementation of machine learning building blocks from scratch
- Progressive learning path from basics to intermediate topics
- Real dataset experiments to solidify concepts
- Community contributions and extensions
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/karpathy-claude-code.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.