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GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...
freeCodeCamp was launched in October 2014 and incorporated as Free Code Camp, Inc. The founder, Quincy Larson, is a software developer who took up programming after graduate school and created freeCodeCamp as a way to streamline a student's progress from beginner to being job-ready.
Exercism is an online, open-source, free coding platform that offers code practice and mentorship [4] on 74 different programming languages. [ 3 ] [ 5 ] History
GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14]
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
Git is a free and open-source software shared under the GPL-2.0-only license. Git was originally created by Linus Torvalds for version control during the development of the Linux kernel. [14] The trademark "Git" is registered by the Software Freedom Conservancy, marking its official recognition and continued evolution in the open-source community.
Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). [3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]