dmarx/dmarx-github-stars huggingface dataset:
Repository: dipanjanS/practical-machine-learning-with-python
Description: Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Language: Jupyter Notebook
Topics: classification, clustering, computer-vision, convolutional-neural-networks, deep-learning, jupyter, jupyter-notebook, keras, machine-learning, natural-language-processing, nltk, notebook, pandas, prophet, python, scikit-learn, spacy, statsmodels, tensorflow, time-series-analysis
Repository: stellargraph/stellargraph
Description: StellarGraph - Machine Learning on Graphs
Language: Python
Topics: data-science, deep-learning, gcn, geometric-deep-learning, graph-analysis, graph-convolutional-networks, graph-data, graph-machine-learning, graph-neural-networks, graphs, heterogeneous-networks, interpretability, link-prediction, machine-learning, machine-learning-algorithms, networkx, python, saliency-map, stellargraph-library
Homepage: https://stellargraph.readthedocs.io/
Repository: bentoml/BentoML
Description: Build Production-Grade AI Applications
Language: Python
Topics: ai, ai-infra, bentoml, deep-learning, generative-ai, inference-api, kubernetes, llmops, lmops, machine-learning, microservices, ml-platform, mlops, model-deployment, model-inference, model-management, model-serving, multimodal-deep-learning
Homepage: https://bentoml.com
Repository: PaddlePaddle/Paddle
Description: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Language: C++
Topics: deep-learning, distributed-training, efficiency, machine-learning, neural-network, paddlepaddle, python, scalability
Homepage: http://www.paddlepaddle.org/