Bert Alternatives
Similar projects and alternatives to bert based on common topics and language
-
-
-
Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
-
-
aws-cloudformation-coverage-roadmap
The AWS CloudFormation Public Coverage Roadmap
-
aws-lambda-java-libs
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
-
-
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
-
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better bert alternative or higher similarity.
Reviews and mentions
Posts with mentions or reviews of bert.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-01.
-
Is huggingface pre-trained models on their site can be used for commercial use?
But I can see that the LICENSE over on Google's bert repository comes with an Apache License, meaning we can generally use it - and amusingly if you scroll down to the 'date' and 'author', it says:
-
How to extract item name from a given sentence?
Transformers build contextual vectors vs word by word. The original model was BERT - https://arxiv.org/abs/1810.04805
- new shit
-
[1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
code for https://arxiv.org/abs/1810.04805: https://github.com/google-research/bert
PDF link Landing page
- check this
-
Emoji Search 🔮 Creating, Deploying and Evaluating a Machine Learning Service
We’re using Google News Vectors from 2019 as a language model, this isn’t necessarily the best choice (newer models exist such as Bert), but it will definitely be up for the task. A condensed version of the model can be found here.
-
[D] How to predict NLP Transformer model sizes?
Google themselves have stated that BERT-Large will not fine-tune on a GPU with 10-12GB.
-
TF2 restore BERT from checkpoint in TF1 checkpoint format
models are from: https://github.com/google-research/bert
-
[D] 7 years since Norm Matloff's blog post "STATISTICS: LOSING GROUND TO CS, LOSING IMAGE AMONG STUDENTS". How has the statistics vs CS situation evolved?
IMO the biggest strength (there are many) that machine learning has over stats is "pretraining", which is basically training a model on one task, then using it in other tasks. Google spends $10K - 100K training BERT on an external knowledge base (usually gigabytes of text data), then freely puts it up for download. You can then "fine tune" BERT on your own dataset, which is more accurate and much cheaper/faster and less data intensive than it would be otherwise.
Stats
Basic bert repo stats
14
29,796
0.0
3 months ago
google-research/bert is an open source project licensed under Apache License 2.0 which is an OSI approved license.
Popular Comparisons
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
Are you hiring? Post a new remote job listing for free.