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adafruit_nrf52_arduino

Adafruit code for the Nordic nRF52 BLE SoC on Arduino

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

charles-inventory

cjson

Ultralightweight JSON parser in ANSI C

cnn-using-hls

Convolutional Neural Network Using High Level Synthesis

courseprojects

Storing all the course project

customized_cpu_prince_algorithm

For a given C code, a customized processor is synthesized. FELICS, Fair Evaluation of Lightweight Cryptographic Systems, PRINCE algorithm version 01 is chosen for this purpose. Hence the definition and the description of the PRINCE algorithm is due. PRINCE algorithm is the first algorithm of a kind that exists as a lightweight block cipher that was intentionally developed to be a minimizer of latency of a sort. PRINCE algorithm is tried with ARM, MSP and, AVR before. This project’s aim is to show that PRINCE algorithm can be worked with a microcontroller which is customized for this work. To prove this point, PRINCE algorithm made applicable to VSCPU, which is designed for this project. After implementation part, by looking at the test results, the comparison is made between VSCPU and customized VSCPU in terms of the number of instructions, slice registers, slice LUTs. Additionally, the platforms will be compared by the numbers of instructions.

dapple

An Efficient Pipelined Data Parallel Approach for Training Large Model

deratematching

5G NR de-rate matching block design cache simulation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fsrcnn-pytorch

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

grain-128a

Grain-128a流密码实现

grain-v1-stream-cipher

Grain v1 stream cipher encryption in C

lenet5_hls

FPGA Accelerator for CNN using Vivado HLS

models

Models and examples built with TensorFlow

models-1

opencv

Open Source Computer Vision Library

pipedream

precisionscalenn

neural network precision scaling experiments

prince

PRINCE cipher in Python

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-weight-prune

Pytorch version for weight pruning for Murata Group's CREST project

pytorch_cifar10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

scale-sim-v2

Repository to host and maintain scale-sim-v2 code

slak

"More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity", Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

softwareengineering

Notes realated to the software engineering

srcnn-pytorch

Pytorch framework can easily implement srcnn algorithm with excellent performance

tensorpack

A Neural Net training Interface on TensorFlow, with focus on speed + flexibility