quickai VS Note

Compare quickai vs Note and see what are their differences.

quickai

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. (by geekjr)

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. (by NoteDance)
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quickai Note
7 48
162 35
- -
3.7 9.9
30 days ago 3 days 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.
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.

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.

Note

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

What are some alternatives?

When comparing quickai and Note you can also consider the following projects:

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].

deep-RL-trading - playing idealized trading games with deep reinforcement learning

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

deep-significance - Enabling easy statistical significance testing for deep neural networks.

segyio - Fast Python library for SEGY files.

softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

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

muzero-general - MuZero

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

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.