AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
-
Updated
May 9, 2021 - Python
{{ message }}
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Build your neural network easy and fast, 莫烦Python中文教学
Statistical 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
With the SFINAE utilities which we have as of now, HAS_MEM_FUNC can only check for member functions that do not have templates. So, if we have something like:
class Foo
{
template<typename T>
void bar()
{
What's wrong?
simple statistics for node & browser javascript
Math.NET Numerics
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
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).
Machine Learning in R
A high-level machine learning and deep learning library for the PHP language.
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.
A Julia machine learning framework
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
Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz
Tribuo - A Java machine learning library
Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Is your feature request related to a problem? Please describe.
While sales forecasting, it is necessary that the model is given the input about the promotions, special events that are taken care of in the prophet model as the holiday effect. Does orbit support this feature?
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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)))