dvsseed

CPB_SGP30_PMSA003_CircuitPython

GaborFilter

The Gabor Filter is ref. from http://www.ijicic.org/ijicic-11-03080.pdf

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

AR2

6 axis stepper motor robot and control software - Gen2

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

CPB_SGP30_PMSA003

Connect Adafruit Circuit Playground Bluefruit, PMSA003 and SGP30 to detect Air Quality with Arduino

darknet

Convolutional Neural Networks

dms

The Diabetes Management Information System for DM Clinic-YU.

drugStorehouse

The warehouse management for drug store.

linux

Linux kernel source tree

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

MyNeuralNetwork

My Neural Network sample code

pytorch_cnn

Training Convolutional Neural Networks to Categorize LithiumBattery with PyTorch

python

a lot of python codes

Python-100-Days

Python - 100天从新手到大师

python_flask_demo

This is a simple student performance management system (using Python Flask + MySQL)

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pythonProject

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

PyTorch_CNN_MNIST

README

README文件语法解读，即Github Flavored Markdown语法介绍

streamlit_app

streamlit app for TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning

sysprog2018

The homework about sysprog2018 courses.

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

tensorflow_cnn

Training Convolutional Neural Networks to Categorize LithiumBattery with TensorFlow 2.0 (Keras)

tf2_cnn_mnist

To apply the CNN Network with TensorFlow 2.0 and Keras to classification Fashion-MNIST dataset

tf2_keras_cnn_jupyter

Using TensorFlow 2.0 + Keras to build CNN network with Jupyter-notebook for Tutorial

tutorials

PyTorch tutorials.

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels (ECCV 2020)

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