Codycode91's Stars
public-apis/public-apis
A collective list of free APIs
ansible/ansible
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
OpenInterpreter/open-interpreter
A natural language interface for computers
vsouza/awesome-ios
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
termux/termux-app
Termux - a terminal emulator application for Android OS extendible by variety of packages.
gunthercox/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
nextcloud/docker
⛴ Docker image of Nextcloud
wilfredinni/python-cheatsheet
All-inclusive Python cheatsheet
ndleah/python-mini-project
🙌 Welcome open-source Python mini-project contributions!
avinashkranjan/Amazing-Python-Scripts
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
termux/termux-api
Termux add-on app which exposes device functionality as API to command line programs.
ianmiell/shutit
Automation framework for programmers
davidbombal/red-python-scripts
alfredfrancis/ai-chatbot-framework
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
google-gemini/generative-ai-python
The official Python library for the Google Gemini API
ahmadfaizalbh/Chatbot
Python ChatBot 💬
FreeBirdsCrew/AI_ChatBot_Python
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
fnplus/Python-scripts-collection
This is a collection of short Python scripts to solve and automate tasks and simplify any work.
furas/python-examples
Python examples from my answers on Stackoverflow and other short scripts.
jeremymaya/google-it-automation-with-python
Repository to keep track of Google IT Automation with Python provided by Coursera
er4vn/Cam-Dumper
Cam-dumper is a written tool in the language of Python program for hacking CCTV cameras that can access cameras in 20 countries
BlackTechX011/Hacx-GPT
Hacx GPT a powerful, evil brother of WormGPT.
dataprofessor/hugchat
The HugChat Streamlit app is an LLM-powered chatbot built using Streamlit and HugChat.
abhishek305/PyBot-A-ChatBot-For-Answering-Python-Queries-Using-NLP
Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.
BEPb/image_to_ascii
Everything is very simple: you either download a picture file or specify its link when running a python script, and output you get a text file, and you can immediately view on the command line how it will look the result of your conversion.
averagesecurityguy/Python-Examples
Example scripts for common python tasks
fabiospampinato/termux-env
My super-quick-to-setup Termux environment.
xVir/apiai-python-webhook
jonamat/sim-modem-cli
CLI tool to communicate with SIM modems by abstracting AT commands
CRGBS/DiscordLLaMABOT
let's on discord use llama large lanuage model