TensorLayer VS biprop

Compare TensorLayer vs biprop and see what are their differences.

biprop

Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network. (by chrundle)
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TensorLayer biprop
1 2
7,275 44
0.0% -
0.0 0.0
about 1 year ago about 2 years 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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TensorLayer

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

biprop

Posts with mentions or reviews of biprop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-26.

What are some alternatives?

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

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

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.

assembled-cnn - Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

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

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

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

TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

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

researcher - Concise answers to search queries using Google and GPT-3. Includes citations.