leleonardzhang / CapuchinLinks
A framework and model generator for Neural Network inferences on MSP430
☆11Updated 3 years ago
Alternatives and similar repositories for Capuchin
Users that are interested in Capuchin are comparing it to the libraries listed below
Sorting:
- Release repo for SONIC and TAILS☆21Updated 5 years ago
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆438Updated last month
- Explore the energy-efficient dataflow scheduling for neural networks.☆232Updated 5 years ago
- ☆373Updated 2 years ago
- An analytical cost model evaluating DNN mappings (dataflows and tiling).☆244Updated last year
- ☆247Updated 2 years ago
- Ares: A framework for quantifying the resilience of deep neural networks☆39Updated 5 years ago
- PIMSim is a Process-In-Memory Simulator with the compatibility of GEM5 full-system simulation.☆213Updated 2 years ago
- ☆32Updated 2 weeks ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆48Updated 5 years ago
- Repository to host and maintain SCALE-Sim code☆399Updated 2 weeks ago
- Arm Machine Learning tutorials and examples☆478Updated 2 weeks ago
- ☆20Updated 3 years ago
- Benchmarks for Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices - IISWC'19 Paper☆16Updated 6 years ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆153Updated 7 months ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 4 years ago
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆82Updated 3 years ago
- LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks☆16Updated 3 years ago
- CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture☆162Updated this week
- Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.☆441Updated 3 months ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆565Updated last year
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆452Updated 2 years ago
- A list of ICs and IPs for AI, Machine Learning and Deep Learning.☆1,700Updated last year
- Tool for optimize CNN blocking☆94Updated 5 years ago
- SMAUG: Simulating Machine Learning Applications Using Gem5-Aladdin☆113Updated 2 years ago
- This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning an…☆2,046Updated last month
- AutoSA: Polyhedral-Based Systolic Array Compiler☆236Updated 3 years ago
- RTL implementation of Flex-DPE.☆115Updated 5 years ago
- PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is dev…☆165Updated last year
- ☆650Updated 4 years ago