Decentralized platform that runs contract-based applications without any possibility of downtime, censorship, fraud or third-party interference.
An easy-to-use code editor with support for debugging, task management, and versioning.
High-level Python web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out
Modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
Small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier.
A library which is used to directly convert your Jupyter notebooks (. ipynb files) into stand-alone interactive web-based dashboard
An open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time.
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.
A computer programming language used for statistical analysis.
A language for statistical computing and data visualizations used widely by business analysts, data analysts, data scientists, and scientists.
A Python library for working with labeled multi-dimensional arrays.
A library of functions to compute climate indices from observations or model simulations.
a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
A Python library designed for high-performance numerical computing, especially machine learning research. Bringing together autograd and TensorFlow's XLA.
A new open source AutoML library that automates deep learning (DL) and machine learning (ML) for real world applications involving image, text and tabular datasets.
An implementation of AutoML for deep learning models using the Keras API, specifically the tf.
A suite of open-source software libraries and APIs for executing data science pipelines entirely on GPUs—and can reduce training times from days to minutes.
A library/framework in Python that provides many unsupervised and supervised learning algorithms.
A query language for APIs and a runtime for fulfilling those queries with your existing data.
A fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
An open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads.
A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
A decentralized computing platform that uses SOL to pay for transactions.
Service offered by Amazon Web Services that provides object storage through a web service interface
A server-client application that allows editing and running notebook documents via a web browser.
Ray is a unified way to scale Python and AI applications from a laptop to a cluster.
Flexible open-source Python library for parallel computing
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