GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
For usage questions, the best place to go to isStackOverflow. Further, general questions and discussions can also take place on thepydata mailing list. Discussion and Development Most development discussions take place on GitHub in this repo, via theGitHub issue tracker. ...
GitHub Link:https://github.com/iperov/DeepFaceLab DeepFaceLab is one of the most fun GitHub projects on Python on this list. DeepFaceLab is a tool that can create deep fakes images and videos, allowing you to do a lot of fun stuff such as change, de-age, and swap faces. To make ...
Check out this GitHub repo with Data Science for engergy lab. Learn Predict meteor showers by using Python and Visual Studio Code Learn how to use concepts from machine learning to predict the occurrence of meteor showers (or Moon Goddess tears). ...
2. HelloGitHub (5th ranked, 80k stars) This repo gathered a collection of interesting projects on GitHub. Most of them are at entry level. It is updated monthly. Many different kinds of projects are in their scope such as books, practical projects, and even enterprise-level solutions. ...
to the observation of gravitational waves96, the fact that SciPy is shipped directly with macOS and in the Intel distribution for Python97, and that SciPy is used by 47% of all machine learning projects on GitHub (https://github.blog/2019-01-24-the-state-of-the-octoverse-machine-learning/...
Python for Visual Studio IPython Completes the Machine Learning stack Focus on reproducible analysis and productivity Better command line shell “Magic” commands, pretty presenting, colour output, better stack-trace, debug support, save state on exit… https://microsoft.github.io/PTVS/中文...
Python Data Science Day will be taking place March 14th, 2024; a "PyDay" on Pi Day: 3.14 🥧. If you're a Python developer, entrepreneur, data scientist, student, or researcher working on projects from hobbyist and start up to enterprise level, you'll f
We strongly welcome anyone interested in contributing to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on GitHub. Todiscusswith other PyPSA users, organise projects, share news, and get in touch with the community you ...