462 skills found · Page 9 of 16
NightMan-1 / QVNoteQVNote - The program for storing notes, pages of sites, personal knowledge base and any other text data
YuhanLiin / Lexer And Parser PythonA complete parser generator which tokenizes the input string before creating a abstract syntax tree by processing the tokens with a context-free grammar. The tokens are defined using the regex library and the actual parser an implementation of Earley's parsing algorithm. This personal project was created after I had finished the Programming Languages course from Udacity and is my way of applying my newly gained knowledge on parsers as a personal "final project".
myothida / PythonProgrammingThis repo includes the assignments and lectures conducted in the Python Programming Course. This Course teaches you programming in general as well as Python fundamentals for data science. This course provides you knowledge and skills to create basic programs to work with real data and solve real-world problems in Python. You will gain a strong foundation for more advanced learning that requires the Python Programming knowledge.
nastoletni / FaqCommunity driven knowledge base, mainly for newbies in programming
Apress / Pro Asynchronous Programming W .netSource code for 'Pro Asynchronous Programming with .NET' by Richard Blewett, Andrew Clymer, and Rock Solid Knowledge Ltd
seanpm2001 / Learn C Plus PlusA repository for showcasing my knowledge of the C++ programming language, and continuing to learn the language.
AnkanMisra / Collaborative Code PlaygroundCollaborative Code Playground or CodePlay is a real-time platform where developers can code together seamlessly. Built with React, Tailwind, and TypeScript, it features multi-language support, code execution, and integrated chat functionality—making pair programming, knowledge sharing, and learning from peers effortless.
comp-think / 2019 2020The GitHub repository containing all the material related to the Computational Thinking and Programming course of the Digital Humanities and Digital Knowledge degree at the University of Bologna (a.a. 2019/2020).
seanpm2001 / Learn RPGLEA repository for showcasing my knowledge of the RGPLE programming language, and continuing to learn the language.
ivandev-81 / Workshops ProjectWorkshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary. Inspired on an old project in my social labours to help share knowledge in an easy way.
abodedaniel / Signal Estimation And ProcessingThe purpose of the laboratory practical was to gain knowledge on the basics of MATLAB and its application to Statistical Signal Processing. The experiment was divided into two parts; the first part was on basics of MATLAB and its application to signal processing problems, the second part was on Speech processing using MATLAB. In the first chapter, after getting acquainted with basic matlab programming concepts, we proceeded to generating noise using the rand() and randn() functions. The concept of linear estimation was modelled to estimate the message in a signal corrupted by noise and the designed estimators were compared and justified to satisfy the Cramer-Rao Lower Bound theorem. In addition, a non linear estimation techniques; Least-Square criterion was developed to estimate the variables in a sum of sinusoidal signal corrupted by noise. The second chapter covered parameter estimation of an AR process. A sound signal was analyzed and a sample of the sound signal was synthesized and compared with the recorded sound signal.
satishchandhu97 / Chatter BotChatterBot: Machine learning in Python ChatterBot ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language. Package Version Python 3.6 Django 2.0 Requirements Status Build Status Documentation Status Coverage Status Code Climate Join the chat at https://gitter.im/chatterbot/Lobby An example of typical input would be something like this: user: Good morning! How are you doing? bot: I am doing very well, thank you for asking. user: You're welcome. bot: Do you like hats? How it works An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply and the accuracy of each response in relation to the input statement increase. The program selects the closest matching response by searching for the closest matching known statement that matches the input, it then returns the most likely response to that statement based on how frequently each response is issued by the people the bot communicates with. Installation This package can be installed from PyPi by running: pip install chatterbot Basic Usage from chatterbot import ChatBot from chatterbot.trainers import ChatterBotCorpusTrainer chatbot = ChatBot('Ron Obvious') # Create a new trainer for the chatbot trainer = ChatterBotCorpusTrainer(chatbot) # Train the chatbot based on the english corpus trainer.train("chatterbot.corpus.english") # Get a response to an input statement chatbot.get_response("Hello, how are you today?") Training data ChatterBot comes with a data utility module that can be used to train chat bots. At the moment there is training data for over a dozen languages in this module. Contributions of additional training data or training data in other languages would be greatly appreciated. Take a look at the data files in the chatterbot-corpus package if you are interested in contributing. from chatterbot.trainers import ChatterBotCorpusTrainer # Create a new trainer for the chatbot trainer = ChatterBotCorpusTrainer(chatbot) # Train based on the english corpus trainer.train("chatterbot.corpus.english") # Train based on english greetings corpus trainer.train("chatterbot.corpus.english.greetings") # Train based on the english conversations corpus trainer.train("chatterbot.corpus.english.conversations") Corpus contributions are welcome! Please make a pull request. Documentation View the documentation for ChatterBot on Read the Docs. To build the documentation yourself using Sphinx, run: sphinx-build -b html docs/ build/ Examples For examples, see the examples directory in this project's git repository. There is also an example Django project using ChatterBot, as well as an example Flask project using ChatterBot. History See release notes for changes https://github.com/gunthercox/ChatterBot/releases Development pattern for contributors Create a fork of the main ChatterBot repository on GitHub. Make your changes in a branch named something different from master, e.g. create a new branch my-pull-request. Create a pull request. Please follow the Python style guide for PEP-8. Use the projects built-in automated testing. to help make sure that your contribution is free from errors. License ChatterBot is licensed under the BSD 3-clause license.
amilner42 / Code TidbitShare Programming Knowledge Better
dirkneuhaeuser / AlgorithmsAn implementation view on algorithms in competitive programming. Most of the explanations are very brief and require knowledge in this field.
thomassuedbroecker / Absolute Beginner Node Red FlowThis Node-RED flow is for absolute beginners with minimal programming knowledge. Covering saving data, search for data and display data in a UI.
anathonic / The Cpp Programming LanguageThe C++ compendium of knowledge based on "The C++ Programming Language Fourth Edition" by Bjarne Stroustrup
seanpm2001 / Learn BrightScriptA repository for showcasing my knowledge of the BrightScript programming language, and continuing to learn the language.
seanpm2001 / Learn ForthA repository for showcasing my knowledge of the Forth programming language, and continuing to learn the language.
seanpm2001 / Learn MalbolgeA repository for showcasing my knowledge of the Malbolge programming language, and continuing to learn the language.
CAMERA-MRI / SPARK2023The Sprint AI Training for African Medical Imaging Knowledge Translation (SPARK) program is designed to train a new generation of African artificial intelligence (AI) experts in medical imaging who can train others. Find more details on our website
