chainerrl VS TensorLayer

Compare chainerrl vs TensorLayer and see what are their differences.

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chainerrl TensorLayer
3 1
1,141 7,275
0.0% 0.0%
0.0 0.0
over 2 years ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

chainerrl

Posts with mentions or reviews of chainerrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

TensorLayer

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

What are some alternatives?

When comparing chainerrl and TensorLayer you can also consider the following projects:

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

gpt-j-chatbot - A GPT-J Chatbot Template for creating AI Characters (Virtual Girlfriend Chatbot, Replika-esque)

deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

yagooglesearch - Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.

DeepLearning - Contains all my works, references for deep learning

SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

TensorFlow2.0-for-Deep-Reinforcement-Learning - TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

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

acer - PyTorch implementation of both discrete and continuous ACER

biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.