DeepBeerInventory-RL VS Note

Compare DeepBeerInventory-RL vs Note and see what are their differences.

Note

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow. (by NoteDance)
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DeepBeerInventory-RL Note
1 48
72 35
- -
0.0 9.9
about 1 year ago 2 days ago
Python Python
BSD 3-clause "New" or "Revised" 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.
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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.

DeepBeerInventory-RL

Posts with mentions or reviews of DeepBeerInventory-RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-09.

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 DeepBeerInventory-RL and Note you can also consider the following projects:

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

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

or-gym - Environments for OR and RL Research

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

Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

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.

Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

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

abce - Agent-based computational Economics, the Python library that makes AB modelling easier

muzero-general - MuZero

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