https://github.com/macaycz/nn

A lightweight, GPU-accelerated machine learning library built with CUDA.
https://github.com/macaycz/nn

cuda deep-learning gpu machine-learning neural-network

Last synced: about 2 hours ago
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A lightweight, GPU-accelerated machine learning library built with CUDA.

• Host: GitHub
• URL: https://github.com/macaycz/nn
• Owner: MACAYCZ
• License: mit
• Created: 2024-09-17T14:39:41.000Z (5 months ago)
• Default Branch: master
• Last Pushed: 2024-11-03T09:33:23.000Z (3 months ago)
• Last Synced: 2024-12-20T23:22:14.474Z (about 2 months ago)
• Topics: cuda, deep-learning, gpu, machine-learning, neural-network
• Language: Cuda
• Homepage:
• Size: 19.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Resources

[Neural networks](https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)

[Neural Network From Scratch](https://github.com/TheIndependentCode/Neural-Network)

[How to Implement Performance Metrics in CUDA C/C++](https://developer.nvidia.com/blog/how-implement-performance-metrics-cuda-cc/)

[Fast Dynamic Indexing of Private Arrays in CUDA](https://developer.nvidia.com/blog/fast-dynamic-indexing-private-arrays-cuda/)

[Tiny CUDA Neural Networks](https://github.com/NVlabs/tiny-cuda-nn)

[What’s the max register number that causes slowdown](https://forums.developer.nvidia.com/t/whats-the-max-register-number-that-causes-slowdown/234969/2)

[CUDA Crash Course](https://youtube.com/playlist?list=PLxNPSjHT5qvtYRVdNN1yDcdSl39uHV_sU&si=hfWfZ5R7q7iYNYvs)

[BFloat16: The secret to high performance on Cloud TPUs](https://cloud.google.com/blog/products/ai-machine-learning/bfloat16-the-secret-to-high-performance-on-cloud-tpus)

[Programming Tensor Cores in CUDA 9](https://developer.nvidia.com/blog/programming-tensor-cores-cuda-9/)

[CUDA C++ Programming Guide - Warp Matrix Functions](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#wmma)

[Zen, CUDA, and Tensor Cores, Part I: The Silicon](https://www.computerenhance.com/p/zen-cuda-and-tensor-cores-part-i)