Optscale Alternatives

MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost.
Alternatives To Optscale
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Data Science Ipython Notebooks25,668
2 years ago34otherPython
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Awesome Kubernetes14,502
a year ago7otherShell
A curated list for awesome kubernetes sources :ship::tada:
Awesome Aws11,773
2 years ago1December 21, 201565otherPython
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
Amazon Sagemaker Examples10,489
2 months ago894apache-2.0Jupyter Notebook
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Metaflow8,4571254 months ago103December 04, 2023296apache-2.0Python
Open Source AI/ML Platform
Gluonts4,86316a month ago107December 07, 2023385apache-2.0Python
Probabilistic time series modeling in Python
Image Super Resolution4,392
a year ago106apache-2.0Python
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Artificial Intelligence Deep Learning Machine Learning Tutorials3,436
2 years ago152otherPython
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Data Science Best Resources2,718
a year ago7mit
Carefully curated resource links for data science in one place
Sagemaker Python Sdk1,9941476a year ago554November 30, 2023272apache-2.0Python
A library for training and deploying machine learning models on Amazon SageMaker
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