frugally-deep
Tulip Indicators
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| frugally-deep | Tulip Indicators | |
|---|---|---|
| 5 | 4 | |
| 1,043 | 802 | |
| - | 1.7% | |
| 8.0 | 5.2 | |
| 7 days ago | 3 months ago | |
| C++ | C | |
| MIT License | GNU Lesser General Public License v3.0 only |
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.
frugally-deep
- Frugally-deep: Header-only library for using Keras (TensorFlow) models in C++
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Ask HN: What side projects landed you a job?
The interview for my current job first went mediocre, but by talking about frugally-deep (a side project of mine) I was able to excite my (now) employer. :-)
https://github.com/Dobiasd/frugally-deep
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Way to convert keras based model to C++.
Did you work through the FAQ here: https://github.com/Dobiasd/frugally-deep/blob/master/FAQ.md
- Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
Tulip Indicators
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Technical Analysis libraries
TA-lib and pandas-ta have already been mentioned, so just for the sake of alternatives, Tulip indicators
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IBKR API doesn't provide technical indicators, is there any alternative?
Broker APIs usually don't provide those. You'll want to generate them using a library. The most popular are TA Library (linked by another commenter), TuliPy, and TA-Lib. All easy to use.
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Here’s the gist of my algorithm. I want to go big with my algorithm and I need some help from you.
I use Tulip Indicators and my codes run on NodeJS and I maintain data on MariaDB. I can of course transform them to any other programming language, if given a chance.
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C Deep
Tulip Indicators - Library of functions for technical analysis of financial data. LGPL-3.0-or-later
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
tensorflow - An Open Source Machine Learning Framework for Everyone
btsk - Behavior Tree Starter Kit
tiny-cnn - header only, dependency-free deep learning framework in C++14
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
Genann - simple neural network library in ANSI C
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
nano
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.