An alarm clock coded in Python 3 with Tkinter

Last update: Dec 25, 2021

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Overview

Tkinter-Alarm-Clock

An alarm clock coded in Python 3 with Tkinter. Run python3 Tkinter Alarm Clock.py in a terminal if you have Python 3. NOTE: This programme will only run on Windows computers. Please use your own sounds if you do not have a Windows computer, as in that case, the 'winsound' module will not work for you.

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CodeMaster7000

I am a keen Python and JavaScript developer who likes to code. I have numerous open-source projects on my Github page - check these out fork them!

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An alarm clock coded in Python 3 with Tkinter

Related tags

Overview

Tkinter-Alarm-Clock

Owner

CodeMaster7000

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

Official code release for: EditGAN: High-Precision Semantic Image Editing

Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

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UpChecker is a simple opensource project to host it fast on your server and check is server up, view statistic, get messages if it is down. UpChecker - just run file and use project easy

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

The source code of CVPR17 'Generative Face Completion'.

Pseudo lidar - (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

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Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

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This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

Just Randoms Cats with python

An alarm clock coded in Python 3 with Tkinter

Related tags

Overview

Tkinter-Alarm-Clock

Owner

CodeMaster7000

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

Official code release for: EditGAN: High-Precision Semantic Image Editing

Lighting the Darkness in the Deep Learning Era: A Survey, An Online Platform, A New Dataset

Tensorflow implementation of soft-attention mechanism for video caption generation.

Split Variational AutoEncoder

Style transfer, deep learning, feature transform

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

UpChecker is a simple opensource project to host it fast on your server and check is server up, view statistic, get messages if it is down. UpChecker - just run file and use project easy

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

The source code of CVPR17 'Generative Face Completion'.

Pseudo lidar - (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Deep Learning applied to Integral data analysis

Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning

Implementing DeepMind's Fast Reinforcement Learning paper

Yolov5-lite - Minimal PyTorch implementation of YOLOv5

This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

Just Randoms Cats with python

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.