AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Updated
Jul 7, 2022 - Python
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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Build your neural network easy and fast, 莫烦Python中文教学
Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.
with fig.batch_update():
template = _resolve_dict_keys(
dict_=fig_kwargs, key="template", defaults=fig_defaultStatistical Machine Intelligence & Learning Engine
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
provide a cmake c++17 switch
to not depend on the std_backport
change those lines from 11 to 17 conditional to a global define
https://github.com/mlpack/mlpack/blob/de94eee6881e33f1145d9d4a8b5380a5be8af36a/CMakeLists.txt#L
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Math.NET Numerics
simple statistics for node & browser javascript
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
ray.init(n_cpus=16)
should be
ray.init(num_cpus=16) in the documentation page
https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML#parallel-tuning
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A high-level machine learning and deep learning library for the PHP language.
Machine Learning in R
A Julia machine learning framework
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
《深度学习与计算机视觉》配套代码
MLBox is a powerful Automated Machine Learning python library.
Hi @JavierAntoran @stratisMarkou,
First of all, thanks for making all of this code available - it's been great to look through!
Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac
TensorLy: Tensor Learning in Python.
Tribuo - A Java machine learning library
Concise and beautiful algorithms written in Julia
Owl - OCaml Scientific Computing @ http://ocaml.xyz
Add a description, image, and links to the regression topic page so that developers can more easily learn about it.
To associate your repository with the regression topic, visit your repo's landing page and select "manage topics."
Hi I would like to propose a better implementation for 'test_indices':
We can remove the unneeded np.array casting:
Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))
Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))