iam-crnn-ctc-recognition VS gpt-neox

Compare iam-crnn-ctc-recognition vs gpt-neox and see what are their differences.

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. (by EleutherAI)
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iam-crnn-ctc-recognition gpt-neox
1 52
21 6,569
- 1.1%
3.6 8.9
about 3 years ago 7 days ago
Python Python
- Apache License 2.0
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iam-crnn-ctc-recognition

Posts with mentions or reviews of iam-crnn-ctc-recognition. We have used some of these posts to build our list of alternatives and similar projects.

gpt-neox

Posts with mentions or reviews of gpt-neox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

What are some alternatives?

When comparing iam-crnn-ctc-recognition and gpt-neox you can also consider the following projects:

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

handprint - Apply different text recognition services to images of handwritten documents.

YaLM-100B - Pretrained language model with 100B parameters

open-ai - OpenAI PHP SDK : Most downloaded, forked, contributed, huge community supported, and used PHP (Laravel , Symfony, Yii, Cake PHP or any PHP framework) SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming. (ChatGPT AI is supported)

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.

lm-evaluation-harness - A framework for few-shot evaluation of language models.