deep-learning-drizzle VS deep-rl-class

Compare deep-learning-drizzle vs deep-rl-class and see what are their differences.

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deep-learning-drizzle deep-rl-class
1 13
11,764 3,609
- 1.5%
0.0 8.9
3 months ago 6 days ago
HTML MDX
- 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.

deep-learning-drizzle

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

deep-rl-class

Posts with mentions or reviews of deep-rl-class. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-22.

What are some alternatives?

When comparing deep-learning-drizzle and deep-rl-class you can also consider the following projects:

cs229-solution - CS229 Solution (summer 2019, 2020).

RL-Algorithms - Basic Reinforcement Learning algorithms implemented in python

OPUS-MT-train - Training open neural machine translation models

gdrl - Grokking Deep Reinforcement Learning

ultimate-volleyball-starter - Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

awesome-full-stack-machine-learning-courses - Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

bidd-molmap - MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

trax - Trax โ€” Deep Learning with Clear Code and Speed

Contour-Based-Writing - This is a simple concept to do writing like operation using the contours. Please follow the article https://q-viper.github.io/2020/08/28/gesture-based-visually-writing-system-web-app/ for further details.

Practical_RL - A course in reinforcement learning in the wild