eml-eda / plinio
A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks
☆41Updated last week
Alternatives and similar repositories for plinio:
Users that are interested in plinio are comparing it to the libraries listed below
- Efficient Decision tree Ensembles libary for IoT edge nodes☆16Updated 2 months ago
- Messy is an open-source framework that integrates a RISC-V ISS with SystemC-AMS☆17Updated last month
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.☆34Updated 4 months ago
- A tool to deploy Deep Neural Networks on PULP-based SoC's☆80Updated 2 months ago
- A library to train and deploy quantised Deep Neural Networks☆23Updated 4 months ago
- FPGA based Vision Transformer accelerator (Harvard CS205)☆114Updated 2 months ago
- [ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers☆14Updated 2 years ago
- Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge☆10Updated 2 years ago
- ☆21Updated last week
- ☆11Updated 2 years ago
- Torch2Chip (MLSys, 2024)☆51Updated 3 weeks ago
- DNN Compiler for Heterogeneous SoCs☆36Updated last week
- Low-Precision YOLO on PYNQ with FINN☆31Updated last year
- FPGA-based hardware accelerator for Vision Transformer (ViT), with Hybrid-Grained Pipeline.☆50Updated 3 months ago
- The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware …☆128Updated last year
- An Open Workflow to Build Custom SoCs and run Deep Models at the Edge☆76Updated 2 months ago
- An FPGA Accelerator for Transformer Inference☆80Updated 2 years ago
- Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts☆118Updated 11 months ago
- Machine-Learning Accelerator System Exploration Tools☆158Updated this week
- A collection of tutorials for the fpgaConvNet framework.☆39Updated 7 months ago
- PolyLUT is the first quantized neural network training methodology that maps a neuron to a LUT while using multivariate polynomial functi…☆51Updated last year
- Fast Emulation of Approximate DNN Accelerators in PyTorch☆22Updated last year
- ☆18Updated 3 years ago
- ☆29Updated 5 months ago
- HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators☆143Updated 3 weeks ago
- NEural Minimizer for pytOrch☆42Updated 9 months ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆145Updated this week
- My implementation of an FPGA Deep Neural Network Hardware Accelerator, moved from my bitbucket☆27Updated 5 years ago
- A novel FPGA-based intent recognition systemutilizing deep recurrent neural networks☆23Updated 3 years ago
- ☆56Updated 3 weeks ago