Alternatives and similar repositories for AI-Articles

Users that are interested in AI-Articles are comparing it to the libraries listed below

• OpenDLA / OpenDLA
  A discussion group on Open Source Deep Learning Accelerator, with technical reports and potential hardware/software issues.
  ☆144Updated 7 years ago
• nvdla / doc
  Documentation for NVDLA.
  ☆251Updated last month
• Xilinx / ml-suite
  Getting Started with Xilinx ML Suite
  ☆339Updated 4 years ago
• dicecco1 / fpga_caffe
  ☆119Updated 7 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 years ago
• nachiket / papaa-opencl
  OpenCL Labs for PAPAA Summer School 2016 Edition
  ☆46Updated 8 years ago
• CSL-KU / firesim-nvdla
  FireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud
  ☆163Updated 3 years ago
• cornell-zhang / bnn-fpga
  Binarized Convolutional Neural Networks on Software-Programmable FPGAs
  ☆308Updated 4 years ago
• hsharma35 / dnnweaver2
  Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
  ☆219Updated 6 years ago
• brianhill11 / FPGA-CNN
  This repo is for ECE44x (Fall2015-Spring2016)
  ☆20Updated 7 years ago
• Xilinx / SDSoC_Examples
  ☆84Updated 5 years ago
• Piyush3dB / awesome-deep-computation
  A curated list of Deep Learning hardware, cycle/memory optimisation techniques
  ☆42Updated 9 years ago
• Xilinx / PYNQ-DL
  Xilinx Deep Learning IP
  ☆94Updated 4 years ago
• JunningWu / Learning-NVDLA-Notes
  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…
  ☆230Updated 6 years ago
• Xilinx / SDAccel_Examples
  SDAccel Examples
  ☆358Updated 3 years ago
• Xilinx / xilinx-tiny-cnn
  ☆143Updated 6 years ago
• harvard-acc / ALADDIN
  A pre-RTL, power-performance model for fixed-function accelerators
  ☆178Updated last year
• Xilinx / CHaiDNN
  HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
  ☆329Updated 6 years ago
• facebookresearch / deepfloat
  An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
  ☆394Updated 2 years ago
• lankas / SqueezeNet
  ☆39Updated 8 years ago
• rdadolf / fathom
  Reference workloads for modern deep learning methods.
  ☆73Updated 2 years ago
• atrifex / CNN-Acceleration
  Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.
  ☆54Updated 8 years ago
• stanford-mast / nn_dataflow
  Explore the energy-efficient dataflow scheduling for neural networks.
  ☆225Updated 5 years ago
• cs217 / cs217.github.io
  Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University
  ☆98Updated 2 years ago
• cornell-zhang / facedetect-fpga
  ☆44Updated 5 years ago
• bu-icsg / dana
  Dynamically Allocated Neural Network Accelerator for the RISC-V Rocket Microprocessor in Chisel
  ☆215Updated 5 years ago
• jingpu / Halide-HLS
  HLS branch of Halide
  ☆78Updated 7 years ago
• nvdla / sw
  NVDLA SW
  ☆503Updated 4 years ago
• fpgasystems / spooNN
  FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
  ☆278Updated 5 years ago
• soDLA-publishment / soDLA
  Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated
  ☆231Updated 6 months ago