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Showing 122 open source projects for "course"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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workshops_project
Workshops is an open source, simple, dead-lightweight LMS
Workshops 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... -
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udemy-dl
A cross-platform python based utility to download courses from udemy
A cross-platform python-based utility to download courses from Udemy for personal offline use. Udemy has started to encrypt many of the course videos, so downloading them may be impossible/illegal because it involves decrypting DRM'd videos which opens up the author to DMCA takedowns/lawsuits. If you use udemy-dl and some/all videos are skipped, please don't open a new issue or comment that the issue still exists. All requests to bypass DRM/encryption will be ignored. -
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Pipeline for training Language Models
Pipeline for training Language Models using PyTorch.
Pipeline for training Language Models using PyTorch. Inspired by Yandex Data School NLP Course (week 03: Language Modeling) Prepared text file with space-separated words on each line. -
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Python4Proteomics Course
Python course for Proteomics analysis
Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. -
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TensorFlow Course
Simple and ready-to-use tutorials for TensorFlow
This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab. -
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A Machine Learning Course with Python
A course about machine learning with Python
The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Machine Learning, as a tool for Artificial Intelligence, is one of the most widely adopted scientific fields. A considerable amount of literature has been published on Machine Learning. The purpose of this project is to provide the most important aspects of Machine Learning by presenting a series of simple and yet comprehensive tutorials using Python. -
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FuzzyWuzzy
Fuzzy string matching in Python
We’ve made it our mission to pull in event tickets from every corner of the internet, showing you them all on the same screen so you can compare them and get to your game/concert/show as quickly as possible. Of course, a big problem with most corners of the internet is labeling. One of our most consistently frustrating issues is trying to figure out whether two ticket listings are for the same real-life event (that is, without enlisting the help of our army of interns). To pick an example completely at random, Cirque du Soleil has a show running in New York called “Zarkana”. ... -
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Fantasque Sans Mono
A font family with a great monospaced variant for programmers
...It appeared that similar names were already in use for other fonts, and that people tended to extend their instinctive hatred of Comic Sans to this very font of mine (which of course can only be loved). The font includes a bold version, with the same metrics as the regular one. Both versions include the same ranges of characters, latin letters, some accented glyphs (quite a lot), some greek letters, some arrows. It also features a good italic version, which I designed in a fashion similar to Consolas' italic version, with new glyph designs, not just an added slant. -
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. ... -
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Coursebook
Introductory Systems Programming Textbook for University of Illinois
Welcome to the systems programming coursebook! This repository houses a high-quality, open-source introductory systems programming textbook used by the CS 341: System Programming course at the University of Illinois at Urbana-Champaign The book assumes that you have taken a programming language course and are familiar with assembly instructions. All of the code and instruction will be in C, as it is the de-facto language of the Linux Kernel. -
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captcha_break
Identification codes
...It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification codes and voice verification codes. We use its function of generating image verification codes. First, we set our verification code format to numbers and capital letters, and generate a string of verification codes. ... -
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AeroPython
Classical Aerodynamics of potential flow using Python
The course is also supported by an open learning space in the GW SEAS Open edX platform. -
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Python Data Science Tutorials
Common data analysis and machine learning tasks using python
Python Data Science Tutorials is a curated learning repository for common data analysis, machine learning, and natural language processing tasks in Python. It combines external tutorials, courses, reference guides, notebooks, articles, and selected code examples. The collection begins with Python fundamentals and then moves into scientific computing, statistics, NumPy, pandas, data exploration, and visualization. Its machine learning sections cover practical algorithms and libraries,... -
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Teach Me Quantum
Practical Course on Quantum Information Science and Quantum Computing
A university-level course on Quantum Computing and Quantum Information Science that incorporates IBM Q Experience and Qiskit. This course is adequate for general audiences without prior knowledge on Quantum Mechanics and Quantum Computing (see prior knowledge), has an estimated average duration of 10 weeks at 3h/week (see duration), and is meant to be the entrypoint into the Quantum World. -
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stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found in the site. For this course, I use python3.6 and TensorFlow 1.4.1. -
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Deep Reinforcement Learning for Keras
Deep Reinforcement Learning for Keras.
keras-rl implements some state-of-the-art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym out of the box. This means that evaluating and playing around with different algorithms is easy. Of course, you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and even algorithms by simply extending some simple abstract classes. Documentation is available online. -
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My Beaglebone Black Project
show and configure
The Beaglebone Black project presented here is a software written by Python and Qt and is intended to show the simple control of inputs and outputs (GPIO), the graphic course of input signals GPIO, the configuration and sending and receiving of data via the UART interfaces, the display of the PIN configuration of the Beaglebone Black and the graphic display of the signal course at the analog inputs. The software runs on the BBB under Debian 8.9 and on Linux computers (as a demo). It is intended to demonstrate the interaction of software with hardware and to encourage the development of peripheral hardware that works with the software described here. ... -
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WireFactory Simulator
Small factory simulator for control logic test purpose
...The WFS were mainly tested with FBDK (http://www.holobloc.com/). Wire Factory has been implemented to help to test more complex automation systems during a doctorate course under guidance of: Supervisor: Prof. Dr. Roberto Silvio Ubertino Rosso Jr. Co-Supervisor: Prof. Dr. André Bittencourt Leal at Santa Catarina University State (UDESC) located in Joinville/Brazil. CONTACT INFO ------------ Leandro Israel Pinto leandroip.com leandro.israel.p@gmail.com -
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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itchat
A complete and graceful API for Wechat
itchat is an open-source WeChat personal account interface, it has never been easier to use python to call WeChat. With less than thirty lines of code, you can have a WeChat bot that handles all the information. Of course, the use of this api is far more than a robot, and more functions are waiting for you to discover. This interface shares a similar operation method with the public account interface itchatmp , learning to master two tools at a time. Now WeChat has become a large part of personal social networking. I hope this project can help you expand your personal WeChat account and facilitate your life. ... -
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Windows Spotlight Slideshow Update
App maintains a slideshow image folder using Windows Spotlight images.
...The app adds or deletes slideshow images based on additions to or deletions from the Windows Spotlight folder by Windows Spotlight. The slideshow folder can be specified in Windows Settings background personalization as the input to a desktop/background slideshow. Of course, the slideshow folder may also be browsed with any image viewer that can read .jpg files. The Slideshow Update app is most useful if it is setup as a Windows startup app but it can also be run manually anytime a refresh is desired. Some of the selection criteria are based on exif-type data imbedded in Spotlight images. The Python Pillow addon is used to extract exif-type data. ... -
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Appupdater provides advanced functionality to Windows, similar to apt-get or yum on Linux. It automates the process of installing and maintaining up to date versions of programs. It is fully customizable for use in a corporate environment.
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DSTK - DataScience ToolKit
DSTK - DataScience ToolKit for All of Us
...Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. ... -
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CellPD
Cell Phenotype Digitizer
This is an open source project to estimate cell cycle and other parameters based upon experimental time course data. Navigate to Files-->CellPD-->[version]-->[Operating System] Each download contains CellPD's source code, a Python virtual environment, and a tutorial on how to use CellPD. Tutorial TL;DR: Save your data (using the provided template) in the same folder as CellPD, then double click on runCellPD.