Hands On Analysis Python
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nlpia | 450 |  | 2 | 1 | 3 years ago | 114 | July 03, 2020 | 9 | mit | HTML |
| Examples and libraries for "Natural Language Processing in Action" book | ||||||||||
| Hands On Analysis Python | 145 | 9 years ago | 2 | Python | ||||||
| PyCon 2015 | ||||||||||
| Pyrpl | 113 | 9 months ago | 4 | August 29, 2017 | 147 | mit | Python | |||
| pyrpl turns your RedPitaya into a powerful DSP device, especially suitable as a lockbox in quantum optics experiments. | ||||||||||
| Dsonmacarm | 99 | 3 years ago | mit | |||||||
| My notes on how I created my Data Science environment on macOS ARM | ||||||||||
| Anaconda Notebook | 83 | 5 years ago | 3 | Python | ||||||
| Docker image for an IPython 3/Jupyter Notebook and Terminal with full Anaconda Install | ||||||||||
| Rtgraph | 50 | 5 months ago | 2 | mit | Python | |||||
| A simple Python application for plotting and storing data in real time | ||||||||||
| Deeptrading | 30 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
| Deep Neural Network Trading collection of Tensorflow Jupyter notebooks | ||||||||||
| Signalflowgrapher | 21 | 7 months ago | 23 | artistic-2.0 | Python | |||||
| This Python tool allows you to draw signal-flow graphs, calculate transfer functions (SymPy code is generated for further use in Jupyter notebooks), do graph manipulations (e.g., node elimination and graph transposition), and save a graph as TikZ for use in LaTeX documentation. | ||||||||||
| Pybox | 20 | 3 years ago | 3 | gpl-3.0 | Python | |||||
| A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran. | ||||||||||
| Ai Aquaculturing | 18 | 8 months ago | mit | Python | ||||||
| This project is developed for smart aquaculture. We use a camera to capture pictures of fishes in the tank. A deep neural network (MobileNet) is applied to recognize the images to identify the situation of fishes in the tank. EdgeTPU is used for edge computing. We also monitor the water quality by some environmental sensors. All the information is integrated into a website constructed by Laravel, and a Linebot is used to deliver information on mobile phones.Four undergraduate students develop this project from the Department of Management Information Systems (MIS), National Pingtung University of Science and Technology (NPUST), Taiwan. | ||||||||||
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