Manta3

Manta3's Stars

• jonathan93sh/CNNA

  A generic Convolutional Neural Network (CNN) Accelerator (CNNA) for FPGA

  Language:VHDL215

• danielholanda/LeFlow

  Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

  Language:Verilog588101

• Xilinx/BNN-PYNQ

  Quantized Neural Networks (QNNs) on PYNQ

  Language:Jupyter Notebook672305

• hillhao/PYNQ-project

  PYNQ, Neural network Language model, Overlay

  Language:Jupyter Notebook10335

• dhm2013724/Xilinx_FPGA_HLS-Mapping-Neural-Network-to-Hardware

  At present, just an example to show how to map the detection algorithm YOLOv2 from model to FPGA

  315

• dog-qiuqiu/MobileNet-Yolo

  MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

  Language:C1.7k278

• dog-qiuqiu/Yolo-Fastest

  :zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

  Language:C2k427

• WalkerLau/GPU-CNN

  Accelerate convolution neural network for face recognition using GPU

  Language:C++129

• mohdumar644/TinyYOLO-BNN

  Example of Tiny YOLO deployed using Xilinx BNN-PYNQ.

  Language:C++3112

• PanDownloadServer/Server

  PanDownload的个人维护版本

  Language:HTML8.3k1.7k

• GraphSAINT/GraphSAINT

  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  Language:Python47687

• GraphSAINT/GraphACT

  [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"

  Language:Python184

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.4k1.2k

• yuanguangxin/LeetCode

  LeetCode刷题记录与面试整理

  Language:Java7.4k1.9k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k528

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.8k664

• nosuggest/Reflection_Summary

  算法理论基础知识应知应会

  2.6k509

• iswbm/magic-python

  Python 黑魔法手册

  Language:Python3.3k480

• Manta3/LeNet_on_PYNQ

  2020年新工科联盟-Xilinx暑期学校（Summer School）项目

  Language:Tcl22

• fpgasystems/spooNN

  FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

  Language:Jupyter Notebook26173

• FloyedShen/mnist_hls

  Lenet for MNIST handwritten digit recognition using Vivado hls tool

  Language:Objective-C3510

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.2k

• hirayaku/DAC2018-TGIIF

  The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track

  Language:Tcl8930

• xjtuiair-cag/XJTU-Tripler

  XJTU-Tripler is based on HiPU100, an FPGA-friendly DNN accelerator, developed by CAG, Institute of AI & Robotics, XJTU.

  Language:VHDL17545

• onioncc/iSmartDNN

  Light-weighted neural network inference for object detection on small-scale FPGA board

  Language:Jupyter Notebook9136

• heheda365/ultra_net

  FPGA-based neural network inference project for 2020 DAC System Design Contest

  Language:C11138

• jiangwx/SkrSkr

  The second place winner for DAC-SDC 2020

  Language:Tcl9625

• Xilinx/PYNQ_Workshop

  Language:Jupyter Notebook402159

• xupsh/2019_SummerCamp

  2019 SEU-Xilinx Summer School

  Language:Python4715