Deepware's repositories
awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
acceltran
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
Awesome-Embeded-AI
收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等,帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
BARVINN
BARVINN: A Barrel RISC-V Neural Network Accelerator: https://barvinn.readthedocs.io/en/latest/
BlockMinifloatMAC
Block minifloat MAC unit for single block GEMM
braggHLS
PyTorch model to RTL flow for low latency inference
CHARM
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture (Full Paper accepted to FPGA2023!)
fpga-snntorch-spike
Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.
FusedGCN4HLS
Systolic Three Matrix Multiplier for Graph Convolutional Networks using High Level Synthesis
garnet
Next generation CGRA generator
halutmatmul
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
HiSparse
High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS
iob-versat
Coarse Grained Reconfigurable Array
Magicube
Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
nitta
NITTA - Tool for Hard Real-Time CGRA Processors
nngen
NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
onnx-simplifier
Simplify your onnx model
qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
RiscV_CPU_with_Accelerator
A RiscV CPU with an accelerator for accelerating neural networks attached to it
rknn-toolkit
RKNN from Rockchip
Sextans
An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).
SNN-DSE
Hardware and software implementation of Sparsely-active SNNs
SNNQuantPrune
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks