modular-diffusion VS extreme-bert

Compare modular-diffusion vs extreme-bert and see what are their differences.

extreme-bert

ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”. (by extreme-bert)
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modular-diffusion extreme-bert
1 2
257 283
- 0.0%
8.0 0.0
7 months ago about 1 year ago
Python Python
MIT License 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.
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modular-diffusion

Posts with mentions or reviews of modular-diffusion. We have used some of these posts to build our list of alternatives and similar projects.

extreme-bert

Posts with mentions or reviews of extreme-bert. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-01.

What are some alternatives?

When comparing modular-diffusion and extreme-bert you can also consider the following projects:

minimal-text-diffusion - A minimal implementation of diffusion models for text generation

torchscale - Foundation Architecture for (M)LLMs

GODEL - Large-scale pretrained models for goal-directed dialog

primeqa - The prime repository for state-of-the-art Multilingual Question Answering research and development.

pixel - Research code for pixel-based encoders of language (PIXEL)

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

RATransformers - RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformer-mlm - Implementation of Transformer Encoders / Masked Language Modeling Objective

code-representations-ml-brain - [NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.

AliceMind - ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.