sparktorch VS BERT-NER

Compare sparktorch vs BERT-NER and see what are their differences.

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sparktorch BERT-NER
1 1
334 1,182
- -
2.5 0.0
12 months ago almost 3 years ago
Python Python
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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sparktorch

Posts with mentions or reviews of sparktorch. We have used some of these posts to build our list of alternatives and similar projects.
  • Spark2 + pytorch on GPU
    1 project | /r/pytorch | 17 Sep 2021
    Was reading the documentation of sparktorch (https://github.com/dmmiller612/sparktorch) which says you need spark >= 2.4.4. But to the best of my knowledge spark2 doesn't have gpu compute capabilities. Does that mean it can only use cpu compute? Am I missing something?

BERT-NER

Posts with mentions or reviews of BERT-NER. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-08.

What are some alternatives?

When comparing sparktorch and BERT-NER you can also consider the following projects:

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

fastT5 - âš¡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

torch2trt - An easy to use PyTorch to TensorRT converter

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

openfl - An open framework for Federated Learning.

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.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.