softlearning VS Note

Compare softlearning vs Note and see what are their differences.

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. (by rail-berkeley)

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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softlearning Note
4 48
1,157 35
2.7% -
0.0 9.9
5 months ago 2 days ago
Python Python
GNU General Public License v3.0 or later 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.
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softlearning

Posts with mentions or reviews of softlearning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

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 softlearning and Note you can also consider the following projects:

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

tmrl - Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

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

rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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

LiDAR-Guide - LiDAR Guide

muzero-general - MuZero

trax - Trax — Deep Learning with Clear Code and Speed

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

awesome-deep-trading - List of awesome resources for machine learning-based algorithmic trading

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