Plots.jl
tensorflow
| Plots.jl | tensorflow | |
|---|---|---|
| 4 | 226 | |
| 1,811 | 183,409 | |
| 1.0% | 0.5% | |
| 8.4 | 10.0 | |
| 19 days ago | 3 days ago | |
| Julia | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
Plots.jl
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Animating plots using only PlotlyJS ?
Have a look at the source: https://github.com/JuliaPlots/Plots.jl/blob/master/src/animation.jl It shouldn't be too hard to write something specifically for PlotlyJS yourself.
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I really want to plot specific level(s) for my contour lines, but the contour function of Plots.jl doesn't accept a vector (or tuple) input of integers even when the documentation says that it can. Please Help.
Ahh, ok. It looks like it's a known issue with the PlotlyJS backend to Plots: https://github.com/JuliaPlots/Plots.jl/issues/3356. Something to do with Plotly being unable to render arbitrary contour levels it seems.
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Should you learn Julia or Python for Machine Learning?
We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.
tensorflow
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Top 17 Fast-Growing Github Repo of 2024
TensorFlow
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Awesome List
GitHub Repository - The main TensorFlow repository.
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Rebuilding TensorFlow 2.8.4 on Ubuntu 22.04 to patch vulnerabilities
The official 2.8.4 container was published in Nov 2022. That's 1.5 years of OS updates at least. I looked up the 2.8.4 source and found that it's using Ubuntu 20.04 as the base OS. Of note, we're using the x86_64 architecture according to the container image layer: ENV NVARCH=x86_64.
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Side Quest Devblog #1: These Fakes are getting Deep
# L2-normalize the encoding tensors image_encoding = tf.math.l2_normalize(image_encoding, axis=1) audio_encoding = tf.math.l2_normalize(audio_encoding, axis=1) # Find euclidean distance between image_encoding and audio_encoding # Essentially trying to detect if the face is saying the audio # Will return nan without the 1e-12 offset due to https://github.com/tensorflow/tensorflow/issues/12071 d = tf.norm((image_encoding - audio_encoding) + 1e-12, ord='euclidean', axis=1, keepdims=True) discriminator = keras.Model(inputs=[image_input, audio_input], outputs=[d], name="discriminator")
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Google lays off its Python team
[3]: https://github.com/tensorflow/tensorflow/graphs/contributors
- TensorFlow-metal on Apple Mac is junk for training
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
To get up to speed with TensorFlow, check their quickstart Support TensorFlow on GitHub ⭐
- One .gitignore to rule them all
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10 Github repositories to achieve Python mastery
Explore here.
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GitHub and Developer Ecosystem Control
Part of the major userbase pull in GitHub revolves around hosting a considerable number of popular projects including Angular, React, Kubernetes, cpython, Ruby, tensorflow, and well even the software that powers this site Forem.
What are some alternatives?
matplotlib - matplotlib: plotting with Python
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Gnuplot.jl - Julia interface to gnuplot
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Luxor.jl - Simple drawings using vector graphics; Cairo "for tourists!"
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
JLD2.jl - HDF5-compatible file format in pure Julia
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
DataFrames.jl - In-memory tabular data in Julia
scikit-learn - scikit-learn: machine learning in Python
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.