Author: Deep Learner

Games

Deep Q-learning for playing chrome dino game

Deep Q-learning for playing Chrome Dino python source code for training an agent to play flappy bird. It could be seen as a very basic example of Reinforcement Learning’s application. Result The corresponding output video will also be generated and stored by default at output/chrome_dino.mp4Output video How to use my code With my code, you can: Train your model from scratch by running python train.py Test your trained model by running python test.py Trained models You could find my trained […]

Read more
Robot

Bot for tenhou.net riichi mahjong server written in Python

tenhou-python-bot Bot was tested with Python 3.7+ and PyPy3, we are not supporting Python 2. Mahjong bot For research purposes we built a simple bot to play riichi mahjong on tenhou.net server. Here you can read about bot played games statistic: versions history How to run it? pip install -r requirements/lint.txt Run cd project && python main.py it will connect to the tenhou.net and will play a game. How to run bot battle with pypy To make it easier run […]

Read more
Robot

A Simple Instagram Like & Comment Bot written in Python

An Instagram bot written in Python using Selenium on Google Chrome. It will go through posts in hashtag(s) and like and comment on them. Getting Started Please be aware of Instagram’s daily limits for likes and comments to avoid getting your account banned. Prerequisites Python 3 Pip – a python package manager Download this file, open a command prompt and navigate to the folder containing the get-pip.py installer, and run python get-pip.py to install Run pip –version to check if […]

Read more
Robot

A Twitter bot written in Python using Tweepy

Twitter Like and Retweet Bot A Twitter bot written in Python using Tweepy and hosted on a server. It will like and/or retweet tweets that contain single or multiple keywords and hashtags. Instructions Apply for Twitter Developer Access with the account you want the bot to be used for. Create a new Twitter Application to generate your private keys, secrets, and tokens. Make sure the app settings has Read and Write permissions. Create a file named credentials.py to hold the […]

Read more
Machine Learning

Build and manage real-life data science projects with ease

Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. Getting Started Getting up and running with Metaflow is easy. Python Install metaflow from pypi: pip install metaflow and access tutorials by typing: metaflow tutorials pull R Install Metaflow from github: devtools::install_github(“Netflix/metaflow”, subdir=”R”) metaflow::install() and […]

Read more
Robot

A Pluggable And Powerful Telegram Manager Bot

FRIDAY-USERBOT A Powerful, Smart And Simple Userbot In Pyrogram. Repl 🧨 Locally 🏆 $ git clone https://github.com/DevsExpo/FridayUserbot $ cd FridayUserbot $ python(3) string_gen.py Deploying To Heroku âš™ Self-hosting (For Devs) âš” # Install Git First // (Else You Can Download And Upload to Your Local Server) $ git clone https://github.com/DevsExpo/FridayUserbot # Open Git Cloned File $ cd FridayUserbot # Install All Requirements $ pip(3) install -r requirements.txt # Create local.env with variables as given below # Start Bot $ python(3) […]

Read more
Python

Python Community Interview With Moshe Zadka

This week, I’m joined by Moshe Zadka, a senior site reliability engineer at SurveyMonkey. Moshe is a core developer for the Twisted framework and a Real Python author. In this interview, we discuss a variety of topics, including the Twisted framework, Python for DevOps, writing Python books, and tai chi. Ricky: Thanks for joining me, Moshe. I’d like to start with the same questions I do with all my interview guests: how did you get into programming, and when did […]

Read more
Advanced, NLP

How to Use Google’s NLP API to Analyze and Produce Better Content

Introduction Machine learning has revolutionized the way content marketers create content. It gave deep insights into what actually the search engine bots crawl and how they understand the natural language. Writing content today is a lot different than it was 15 years ago. In the past, the content was created for the Search Engines, which was enough to rank the website high. But, today, valuable content is not the one made specifically for search engines. In fact, creating such content […]

Read more
Machine Learning

The first dataset for learning Object Depth via Motion and Detection

ODMD Dataset ODMD is the first dataset for learning Object Depth via Motion and Detection. ODMD training data are configurable and extensible, with each training example consisting of a series of object detection bounding boxes, camera movement distances, and ground truth object depth. As a benchmark evaluation, we provide four ODMD validation and test sets with 21,600 examples in multiple domains, and we also convert 15,650 examples from the ODMS benchmark for detection. In our paper, we use a single […]

Read more
Natural Language Processing

OpenAI CLIP text encoders for any language

Multilingual-CLIP OpenAI CLIP text encoders for any language. OpenAI recently released the paper Learning Transferable Visual Models From Natural Language Supervision in which they present the CLIP (Contrastive Language–Image Pre-training) model. This model is trained to connect text and images, by matching their corresponding vector representations using a contrastive learning objective. CLIP consists of two separate models, a visual encoder and a text encoder. These were trained on a wooping 400 Million images and corresponding captions. OpenAI has since released […]

Read more
1 … 702 703 704 705 706 … 973