Top 23 Python Numpy Projects
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Project mention: Slängde ihop ett pythonskript som skrapade kommentarerna på "Vad jobbar ni med"-inlägget från igår | reddit.com/r/sweden | 2022-01-11
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Project mention: Hugging Face Introduces ‘Datasets’: A Lightweight Community Library For Natural Language Processing (NLP) | reddit.com/r/artificial | 2021-11-08Code for https://arxiv.org/abs/2109.02846 found: https://github.com/huggingface/datasets
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Dask: Distributed data frames, machine learning and more
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Project mention: Can anyone recommend resources to prepare for Pandas and Numpy interview questions? | reddit.com/r/datascience | 2021-09-24
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Project mention: Defining a concatenated series of strings with comments in-between | reddit.com/r/learnpython | 2022-01-17
Do you mean numba? as in https://numba.pydata.org/
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Project mention: [D] Paper Explained - Sparse is Enough in Scaling Transformers (aka Terraformer) | Video Walkthrough | reddit.com/r/MachineLearning | 2021-12-01
Code: https://github.com/google/trax/blob/master/trax/examples/Terraformer_from_scratch.ipynb
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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Interesting, your problem it's with the drive/transcoder and not with Jellyfin itself. I found a thread on github that may be useful. But that's beyond my current knowledge.
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Project mention: [D] What are your favorite tools to visualize/explain tensor operations? | reddit.com/r/MachineLearning | 2022-01-11
einops: just look at the pretty visual GIF and be amazed
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"On the simpler side". Do you mean with a graphical interface? Then, orange would be a nice solution. https://orangedatamining.com/
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Project mention: We built a pi controlled hydroponics box that grows your plants 1.5x faster using ML | reddit.com/r/raspberry_pi | 2021-04-26
but it looks like none of your plants are supported by the plantvillage model, or do I understand something wrong? https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/plant_village.py#L57
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Project mention: A simple Python package written using Rust and Pyo3 (XBRL XML to JSON/CSV parser) | reddit.com/r/Python | 2022-01-11
I recently discovered the amazing Pyo3 library which makes it relatively easy to write a Python package using a Rust library. This enables the development of Python packages that utilize the blazing speed of Rust with the usability of Python. Packages such as ORJSON use this approach to achieve state-of-the-art speeds through a Python package.
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Project mention: How we found and helped fix 24 bugs in 24 hours (in Tensorflow, Sentry, V8, PyTorch, Hue, and more) | dev.to | 2022-01-05
Pydata's xarray
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mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Perhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
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Project mention: AUR python package and /usr/lib/python write permissions | reddit.com/r/archlinux | 2021-12-15
It's napari. Those "assets" are some qt-recourses that need to be compiled from svg. I don't know the details on how this works. I wanted to understand if this is something I should try to solve with my PKGBUILD, before opening a PR and going down the rabbithole :)
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There are also online & offline onset detection approaches available as part of the Python madmom library https://github.com/CPJKU/madmom as binaries and Python classes. The methods included in madmom have shown state of the art results in multiple Music Information Retrieval Evaluation eXchange (MIREX) campaigns in recent years. Hope that's useful to you.
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GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).
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Project mention: How to write a resume for python / ML jobs? | reddit.com/r/learnmachinelearning | 2021-02-06
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
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Project mention: Change docstring style for a project's entire codebase | reddit.com/r/pycharm | 2021-05-17
Ah - I was thrown off by 'type' vs 'style'. You might want to take a look at https://github.com/dadadel/pyment
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baby-names-analysis
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Project mention: [For Hire] Data Analysis, Bots, Web Scrapers & Automation Software | reddit.com/r/jobbit | 2021-02-23Baby Names Analysis using NumPy, pandas, Matplotlib and Seaborn.
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Re: Matchering (https://github.com/sergree/matchering), here is a little more information. If I recall correctly there is a docker-ized version so you can run it locally relatively easily if you are willing to learn a couple of bash commands. I have not played with it a lot and it is separate from the DAW.
Python Numpy related posts
- Defining a concatenated series of strings with comments in-between
- Compile NumPy Functions to Their Fully Homomorphic Encryption (FHE) Equivalents
- Concrete Numpy: compile various Numpy functions into their Fully Homomorphic Encryption (#FHE) equivalents.
- [D] What are your favorite tools to visualize/explain tensor operations?
- Slängde ihop ett pythonskript som skrapade kommentarerna på "Vad jobbar ni med"-inlägget från igår
- Trading Algos - 5 Key Metrics and How to Implement Them in Python
- What does it mean to scale your python powered pipeline?
Index
What are some of the best open-source Numpy projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | data-science-ipython-notebooks | 22,327 |
| 2 | NumPy | 19,316 |
| 3 | datasets | 11,809 |
| 4 | Dask | 9,392 |
| 5 | numpy-100 | 7,759 |
| 6 | Numba | 7,174 |
| 7 | trax | 6,721 |
| 8 | cupy | 5,669 |
| 9 | einops | 4,129 |
| 10 | orange | 3,211 |
| 11 | datasets | 3,116 |
| 12 | orjson | 2,736 |
| 13 | xarray | 2,377 |
| 14 | mars | 2,329 |
| 15 | numpyro | 1,240 |
| 16 | napari | 1,219 |
| 17 | Eliot | 936 |
| 18 | madmom | 850 |
| 19 | GeneticAlgorithmPython | 752 |
| 20 | yolo-tf2 | 730 |
| 21 | pyment | 680 |
| 22 | baby-names-analysis | 558 |
| 23 | matchering | 536 |
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