Send text to girlfriend in the morning

Last update: Oct 25, 2022

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Overview

Girlfriend Text

Send text to girlfriend (or really anyone with a phone number) in the morning

1. Configure your settings in `utils.py`.

phone_number = "phone number" # enter the target phone number inside quotation marks. use the format "+15555555555"
message = ["Good Morning Babe", "Good morning my love", "Good morning cutie"] # just make sure the message is inside quotation marks. An example is "Did you sleep well?"
scheduled_time = "08:00" # make sure the hour has 2 digits (24-hour standard).

Note: If you want to send a message everyday at 8:45 AM, you will need to set scheduled_time = "08:45" in utils.py

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`

Owner

Paras Adhikary

Entrepreneur, video creator, and software engineer.

GitHub Repository

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Send text to girlfriend in the morning

Related tags

Overview

Girlfriend Text

1. Configure your settings in `utils.py`.

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`

Owner

Paras Adhikary

The final project of "Applying AI to 2D Medical Imaging Data" of "AI for Healthcare" nanodegree - Udacity.

Robot Reinforcement Learning on the Constraint Manifold

Demo code for paper "Learning optical flow from still images", CVPR 2021.

Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

METER: Multimodal End-to-end TransformER

Trajectory Variational Autoencder baseline for Multi-Agent Behavior challenge 2022

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

A simple image/video to Desmos graph converter run locally

Drone Task1 - Drone Task1 With Python

Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646

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Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

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Open-Ended Commonsense Reasoning (NAACL 2021)

Send text to girlfriend in the morning

Related tags

Overview

Girlfriend Text

1. Configure your settings in utils.py.

2. Install requirements: pip install -r requirements.txt

3. Run the script with: python3 main.py

Owner

Paras Adhikary

The final project of "Applying AI to 2D Medical Imaging Data" of "AI for Healthcare" nanodegree - Udacity.

Robot Reinforcement Learning on the Constraint Manifold

Demo code for paper "Learning optical flow from still images", CVPR 2021.

Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

METER: Multimodal End-to-end TransformER

Trajectory Variational Autoencder baseline for Multi-Agent Behavior challenge 2022

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

A simple image/video to Desmos graph converter run locally

Drone Task1 - Drone Task1 With Python

Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

TigerLily: Finding drug interactions in silico with the Graph.

QAT(quantize aware training) for classification with MQBench

Code release for ICCV 2021 paper "Anticipative Video Transformer"

Machine learning algorithms for many-body quantum systems

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Machine learning framework for both deep learning and traditional algorithms

Open-Ended Commonsense Reasoning (NAACL 2021)

1. Configure your settings in `utils.py`.

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`