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ml_memory_analyser

Utilities to explore runtime memory usage of machine learning models

mram_simulation_framework_

MRAM magnetization simulation framework. s-LLGS python and verilog-a solvers for transients simulation and Fokker-planck equation solver for stochastic analysis

nanoprintf

A tiny embeddable printf replacement written in C99.

nexys-4-ddr-gpio

nexys-4-ddr-music-looper

num-methods-for-pdes

Lecture material on numerical methods for partial differential equations.

oommf_xf_thermspinxferevolve

oommfc

OOMMF calculator.

pico-examples

pico_epaper_code

Waveshrae Pico e-Paper driver code

posenet-python

A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)

project-posenet

Human Pose Detection on EdgeTPU

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

pyddm

A drift-diffusion modeling (DDM) framework for Python3

pynq

Python Productivity for ZYNQ

pynq-classification

Python on Zynq FPGA for Convolutional Neural Networks

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

rasa_nlu

turn natural language into structured data

rectpack

Python 2D rectangle packing library

rpi.gpio

RPi.GPIO with experimental ARM64 support

rram_multilevel_driver

Architecture for RRAM multilevel programming

scienceplots

Matplotlib styles for scientific plotting

siml

Machine Learning algorithms implemented from scratch

simple_server_client

Simple project to apply modern cpp to a server client concept.

single-path-nas

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

spanish_inspire_catastral_downloader

A QGIS plugin to download cadastral data from INSPIRE Services of Spanish Cadastral Cartography

synoploss

system-snake

Snake game implemented in SystemVerilog, running on the Digilent Nexys DDR 4.

tensorflow

Computation using data flow graphs for scalable machine learning