tf-transformers
State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ). (by legacyai)
semver
Semantic Versioning Specification (by semver)
Our great sponsors
| tf-transformers | semver | |
|---|---|---|
| 5 | 720 | |
| 84 | 7,026 | |
| - | 1.3% | |
| 1.7 | 0.6 | |
| about 1 year ago | 4 days ago | |
| Jupyter Notebook | ||
| Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tf-transformers
Posts with mentions or reviews of tf-transformers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-12.
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Tensorflow-Transformers 2.0 ( for NLP, CV, Audio )
Code : GitHub - legacyai/tf-transformers: State of the art faster Natural Language Processing in Tensorflow 2.0 . 1 Website : https://legacyai.github.io/tf-transformers 1
- [P] Production Ready NLP Deep learning tutorials on tensorflow 2.0. tf-transformers
- Do we really need to Dstill Language Models? Joint loss is all we need - Albert-Joint .
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tf-transformers : State of the art faster NLP in Tensorflow 2.0 . 80 % faster to existing TF based libraries.
Faster Auto Regressive Decoding using Tensorflow2. Faster than PyTorch in most experiments (V100 GPU). 80% faster compared to existing TF based libraries (relative difference) Refer benchmark code.
- [D] Why is tensorflow so hated on and pytorch is the cool kids framework?
semver
Posts with mentions or reviews of semver.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-25.
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Master the Art of Writing and Launching Your Own Modern JavaScript and Typescript Library in 2024
Following the Semantic Versioning rules, you should raise the version number every time you need to publish your library. In your "package.json" file, you need to change the version number to reflect whether the changes are major, minor, or patch updates.
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Using semantic-release to automate releases and changelogs
Semantic Versioning: An established convention for version numbers following the pattern MAJOR.MINOR.PATCH
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Essential Command Line Tools for Developers
Increases the major of the latest tag and prints it As per the Semver spec, it'll also clear the pre-release…
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Testing Our Tasks
The reason for this is that software libraries and package managers, in general, but specifically here, rely on semantic versioning. Semantic versioning is really useful for distributing packages in a predictable way. What does this look like for our project?
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What is Semantic Versioning and why you should use it for your software ?
For a more detailed and comprehensive guide on semantic versioning, visit https://semver.org
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Neovim v0.9.5 Released
I believe neovim follows semantic versioning. https://semver.org/
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Semver 2.0.0 Released
Semver has been 2.0.0 for 10 years, look at the date of the assets. Multiple releases created today where none existed before. Not sure why someone is creating releases now, perhaps just some housekeeping/cleanup.
https://github.com/semver/semver/releases
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First purchase advice
All ELRS hardware will talk to all other ELRS hardware, including Radiomaster's ELRS transmitters and receivers. There are one or two exceptions from scummy companies that have been pilloried by the community, and you probably won't find them anymore. So long as the ELRS firmware running on both devices has the same major version number, you're good to go. ie. 3.3.1 will still talk to 3.0.1, but won't talk to 2.0.0. (The "major version" is the 1st number, the "minor version" is the 2nd number, and the "patch version" is the 3rd number. See Semantic Versioning for more info.)
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fkYAML v0.3.0: Support non-string-scalar nodes as mapping keys
If you're using semver, read the spec it's not overly long or hard to understand.
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Immich will have breaking changes (again) in the next release
Semantic versioning actually has a clear rule about this:
What are some alternatives?
When comparing tf-transformers and semver you can also consider the following projects:
medspacy - Library for clinical NLP with spaCy.
react-native - A framework for building native applications using React
flax - Flax is a neural network library for JAX that is designed for flexibility.
semantic-release - :package::rocket: Fully automated version management and package publishing
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
standard-version - :trophy: Automate versioning and CHANGELOG generation, with semver.org and conventionalcommits.org
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
changesets - 🦋 A way to manage your versioning and changelogs with a focus on monorepos
BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.
helmfile - Deploy Kubernetes Helm Charts
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
Poetry - Python packaging and dependency management made easy
tf-transformers vs medspacy
semver vs react-native
tf-transformers vs flax
semver vs semantic-release
tf-transformers vs MIRNet-TFJS
semver vs standard-version
tf-transformers vs bertviz
semver vs changesets
tf-transformers vs BERT-for-Mobile
semver vs helmfile
tf-transformers vs gpt-3-simple-tutorial
semver vs Poetry