- Review Papers
- AI-accelerators(CPU, GPU, FPGA, ASIC, SoC, HPC), Neuromorphic and Quantum Compute for AI
- case study: ml/dl frameworks/libraries(an architectural overview)
- deep learning compiler Optimization for different hardwares
- New Theories of Computation
- Demystifying Deep Learning Frameworks and Libraries(end to end low+high level)
- Neural Networks on Silicon
- Embedded-Neural-Network
-
Notifications
You must be signed in to change notification settings - Fork 10
research, experimentation and implementation of hardware-agnostic accelerated DL framework
License
gopala-kr/DL-on-Silicon
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
research, experimentation and implementation of hardware-agnostic accelerated DL framework
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published