python template cookiecutter datascience machinelearning deeplearning codestyle template-project python-package github-templates githubcli deeplearning-ai machine-learning-projects machinelearning-python machinelearningprojects github-template template-repository Updated Feb 2, 2025 Python naveen-chauhan / Loan...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
The default container image that's used by GitHub Codespaces includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and Plotly. For more information about th...
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With the fast-paced development of artificial intelligence, large language models are increasingly used to tackle various scientific challenges. A critical step in this process is converting domain-specific data into a sequence of tokens for language mod
Python 复制 import requests import os tf_code = requests.get("https://raw.githubusercontent.com/tensorflow/tensorflow/r1.8/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py") with open(os.path.join(exp_dir, "mnist_with_summaries.py"), "w") as file: file.write(tf_code.text) ...
Applications:Distributed deep learning. Code Sample:The library has limited examples and support. 19. Theano Website:https://pytensor.readthedocs.io/en/latest/ GitHub stars:163 Contributors:413 Description:Theano was a Python library that allows you to define, optimize, and evaluate mathematical expr...
Fig. 1: Python Machine learning projects on GitHub, with color corresponding to commits/contributors. Bob, Iepy, Nilearn, and NuPIC have the highest such value. scikit-learn, 18845 commits, 404 contributors,www.github.com/scikit-learn/scikit-learnscikit-learn is a Python module for machine learn...
Samples and Tools for Windows ML. Contribute to microsoft/Windows-Machine-Learning development by creating an account on GitHub.
We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.