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.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
As the first post in the new year, just like what I did before, I’m very curious about what were the most popular Python projects so far. GitHub is definitely the most suitable place to have these statistics. Although not all the open-sourced projects will be maintained here, there won...
In the year 2022 Top 30 Popular GitHub Python repo projects with the most stars and watchers. Data Science and Machine Learning are dominant Python.
The tile encoder individually projects all tiles into compact embeddings. The slide encoder then inputs the sequence of tile embeddings and generates contextualized embeddings taking into account the entire sequence using a transformer. The tile encoder is pretrained using DINOv2, the state-of-the-...
“Don’t pick just random projects to work on and add it to your resume or portfolio. Solve a problem that relates to the companies that you’re interested in.”
Inferring cellular trajectories using a variety of omic data is a critical task in single-cell data science. However, accurate prediction of cell fates, and thereby biologically meaningful discovery, is challenged by the sheer size of single-cell data, the diversity of omic data types, and the ...
Use SQLGate or Codespaces to set up your environment and choose a database, like MongoDB to get started with your data science projects. Hop onto DataCamp to build your data skills. Whether you’re interested in diving into and introduction to R, Python or SQL, or you want to learn more...
Tool for encapsulating, running, and reproducing data science projects. Build status Project information Description Take any directory full of stuff that you're working on; web apps, scripts, Jupyter notebooks, data files, whatever it may be. ...