HumanFirst vs Transformers

Overview

HumanFirst

Stacks5

Followers13

Votes0

Transformers

Stacks251

Followers64

Votes0

GitHub Stars152.1K

Forks31.0K

Transformers vs HumanFirst: What are the differences?

Developers describe Transformers as "State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0". It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch. On the other hand, HumanFirst is detailed as "The Hub for Conversational AI Data". Reduce development cost and complexity, and increase developer happiness, with the most powerful companion to any conversational AI project.

Transformers and HumanFirst can be primarily classified as "NLP / Sentiment Analysis" tools.

Some of the features offered by Transformers are:

High performance on NLU and NLG tasks
Low barrier to entry for educators and practitioners
Deep learning researchers

On the other hand, HumanFirst provides the following key features:

Refactoring of training phrases
Continuous optimization of intents
Merging intents

Transformers is an open source tool with 30.7K GitHub stars and 7.25K GitHub forks. Here's a link to Transformers's open source repository on GitHub.

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Detailed Comparison

HumanFirst	Transformers
Reduce development cost and complexity, and increase developer happiness, with the most powerful companion to any conversational AI project.	It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
Refactoring of training phrases; Continuous optimization of intents; Merging intents; Processing conversation logs in real time; Data labeling; Machine learning assisted workflows; Intent discovery and training	High performance on NLU and NLG tasks; Low barrier to entry for educators and practitioners; Deep learning researchers; Hands-on practitioners; AI/ML/NLP teachers and educators
Statistics
GitHub Stars -	GitHub Stars 152.1K
GitHub Forks -	GitHub Forks 31.0K
Stacks 5	Stacks 251
Followers 13	Followers 64
Votes 0	Votes 0
Integrations
AWS Chatbot rasa NLU Dialogflow IBM Watson Wit.ai	TensorFlow PyTorch

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