Tulip Indicators VS ANNetGPGPU

Compare Tulip Indicators vs ANNetGPGPU and see what are their differences.

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Tulip Indicators ANNetGPGPU
4 -
802 102
0.7% 0.0%
5.2 0.0
3 months ago over 2 years ago
C C++
GNU Lesser General Public License v3.0 only GNU General Public License v3.0 only
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.

Tulip Indicators

Posts with mentions or reviews of Tulip Indicators. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

ANNetGPGPU

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

We haven't tracked posts mentioning ANNetGPGPU yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Tulip Indicators and ANNetGPGPU you can also consider the following projects:

Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.

Recast/Detour - Industry-standard navigation-mesh toolset for games

btsk - Behavior Tree Starter Kit

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings

tiny-cnn - header only, dependency-free deep learning framework in C++14

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

Genann - simple neural network library in ANSI C

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.