doitdodo Goto Github PK
Name: DODO
Type: User
DODO's Projects
benchmarking-gnns
Repository for benchmarking graph neural networks
biaxial-rnn-music-composition
A recurrent neural network designed to generate classical music.
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
brian2
Brian is a free, open source simulator for spiking neural networks.
caffe
Caffe on both Linux and Windows
canonical_es_atari
Benchmarking Canonical Evolution Strategies for Playing Atari
carnd-path-planning-project
Create a path planner that is able to navigate a car safely around a virtual highway
chaidnn
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
chisel-bootcamp
Generator Bootcamp Material: Learn Chisel the Right Way
chisel3
Chisel 3: A Modern Hardware Design Language
cifar-10-cnn
Using cifar-10 datasets to learn deep learning.
cifar-vgg
VGG16 models for CIFAR-10 and CIFAR-100 using Keras
clacc
Deep Learning Accelerator (Convolution Neural Networks)
classification_models
Classification models trained on ImageNet. Keras.
cnn-fpga
使用Verilog实现的CNN模块，可以方便的在FPGA项目中使用
cnn_finetune
Fine-tune CNN in Keras
cnn_open
A hardware implementation of CNN, written by Verilog and synthesized on FPGA
cnn_vgg19_verilog
Convolution Neural Network of vgg19 model in verilog
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
convolution_network_on_fpga
CNN acceleration on virtex-7 FPGA with verilog HDL
convolutional-neural-network
Implementation of CNN using Verilog
coremark
CoreMark® is an industry-standard benchmark that measures the performance of central processing units (CPU) and embedded microcrontrollers (MCU).
cores
Various HDL (Verilog) IP Cores
cpu
A very primitive but hopefully self-educational CPU in Verilog
dana
Dynamically Allocated Neural Network Accelerator for the RISC-V Rocket Microprocessor in Chisel
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
darkriscv
opensouce RISC-V implemented from scratch in one night!
deep-compression-pytorch
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
deep-learning-models
Keras code and weights files for popular deep learning models.
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