happy-transformer VS quickai

Compare happy-transformer vs quickai and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
happy-transformer quickai
1 7
497 162
- -
9.0 3.7
about 1 month ago 26 days ago
Python Python
Apache License 2.0 MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

happy-transformer

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

quickai

Posts with mentions or reviews of quickai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-05.

What are some alternatives?

When comparing happy-transformer and quickai you can also consider the following projects:

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

detoxify - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

gpt-neo_dungeon - Colab notebooks to run a basic AI Dungeon clone using gpt-neo-2.7B

FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model

segyio - Fast Python library for SEGY files.

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

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.

small-text - Active Learning for Text Classification in Python

chappie.ai - Generalized AI to perform a multitude of tasks written in python3

gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.