fengbintu / Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
☆1,923Updated 2 months ago
Alternatives and similar repositories for Neural-Networks-on-Silicon:
Users that are interested in Neural-Networks-on-Silicon are comparing it to the libraries listed below
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆557Updated last year
- An OpenCL-based FPGA Accelerator for Convolutional Neural Networks☆1,288Updated 3 years ago
- Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"☆751Updated 7 years ago
- A list of ICs and IPs for AI, Machine Learning and Deep Learning.☆1,657Updated 9 months ago
- ☆608Updated 4 years ago
- RTL, Cmodel, and testbench for NVDLA☆1,837Updated 3 years ago
- Binarized Convolutional Neural Networks on Software-Programmable FPGAs☆304Updated 4 years ago
- This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.☆749Updated 5 years ago
- Berkeley's Spatial Array Generator☆900Updated last month
- ☆350Updated last year
- Quantized Neural Networks (QNNs) on PYNQ☆681Updated 3 years ago
- FPGA Accelerator for CNN using Vivado HLS☆313Updated 3 years ago
- Getting Started with Xilinx ML Suite☆337Updated 4 years ago
- A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.☆414Updated 5 years ago
- HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs☆325Updated 5 years ago
- CNN acceleration on virtex-7 FPGA with verilog HDL☆436Updated 7 years ago
- 中文版 Parallel Programming for FPGAs☆719Updated 7 months ago
- A open source reimplementation of Google's Tensor Processing Unit (TPU).☆417Updated 7 years ago
- Explore the energy-efficient dataflow scheduling for neural networks.☆221Updated 4 years ago
- An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model☆439Updated 9 months ago
- FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)☆266Updated 5 years ago
- Implementation of a Tensor Processing Unit for embedded systems and the IoT.☆449Updated 6 years ago
- Dataflow compiler for QNN inference on FPGAs☆796Updated this week
- A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, …☆624Updated last year
- NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and…☆225Updated 6 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆614Updated 4 years ago
- Documentation for NVDLA.☆246Updated 7 months ago
- Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.☆209Updated 5 years ago
- NVDLA SW☆493Updated 4 years ago
- Machine learning on FPGAs using HLS☆1,414Updated this week