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Bert Alternatives
Similar projects and alternatives to bert
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transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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pysimilar
A python library for computing the similarity between two strings (text) based on cosine similarity
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PURE
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812 (by princeton-nlp)
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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aws-cloudformation-coverage-roadmap
The AWS CloudFormation Public Coverage Roadmap
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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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.
bert 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 2023-01-12.
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Train a language model from scratch
The BERT paper has all the information regarding training parameters and datasets used. Hugging Face Datasets hosts the bookcorpus and wikipedia datasets.
- I'm noticing a huge uprising of hostility against AI generated art lately. But where's the threat?
- AlphaCode by DeepMind
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[R] LiBai: a large-scale open-source model training toolbox
Found relevant code at https://github.com/google-research/bert + all code implementations here
- How to Build a Semantic Search Engine in Rust
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How we created an in-browser BERT attention visualiser without a server - TrAVis: Transformer Attention Visualiser
In the BERT Base Uncased model, for example, there are 12 transformer layers, each layer contains 12 heads, and each head generates one attention matrix. TrAVis is the tool for visualising these attention matrices.
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Conversational AI
BERT (Bidirectional Encoder Representations from Transformers) is a large, computational intensive model that set the state of the art for natural language understanding when it was released. It can be applied to a broad range of language tasks such as reading comprehension, sentiment analysis, or question and answer. It has been trained on a massive corpus of 3.3 billion words of English text to understand language and has the capability to train on unlabeled datasets with minimal modification.
What is BERT?
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Introduction to Sentence-BERT (SBERT)
In October 2019 Google announced a new AI-based technology called BERT to further improve their search results.
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The fastest tool for querying large JSON files is written in Python (benchmark)
> resulting in large programs with lots of boilerplate
That was what I was trying to say when I said "the code required to implement the challenges is large enough that they are considered too inconvenient to use". This makes sense to me.
Thank you for this benchmark! I'll probably switch to spyql now from jq.
> So, orjson is part of the reason why a python-based tool outperforms tools written in C, Go, etc and deserves credit.
Yes, I definitely think this is worth mentioning upfront in the future, since, IIUC, orison's core uses Rust (the serde library, specifically). The initial title gave me the impression that a pure-Python json parsing-and-querying solution was the fastest out there, which I find misleading.
A parallel I think is helpful is saying something like "the fastest BERT implementation is written Python[0]". While the linked implementation is written in Python, it offloads the performance critical parts to C/C++ through TensorFlow.
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A note from our sponsor - Sonar
www.sonarsource.com | 2 Feb 2023
Stats
Basic bert repo stats
35
33,022
0.0
2 months ago
google-research/bert is an open source project licensed under Apache License 2.0 which is an OSI approved license.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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