Augmentor is an image augmentation library in Python for machine learning. It aims to be a platform and framework independent library, which is more convenient, allows for finer grained control over augmentation, and implements as many augmentation procedures as possible. It employs a stochastic appro...
TheModel.define_operators()classmethod allows you to bind arbitrary binary functions to Python operators, for use in anyModelinstance. The method can (and should) be used as a context-manager, so that the overloading is limited to the immediate block. This allows concise and expressive model ...
1%matplotlib inline2importmatplotlib.pyplot as plt3housing.hist(bins=50, figsize=(20,15))4save_fig("attribute_histogram_plots")5plt.show() For single attribute, you can use the following statement: housing["median_income"].hist() Correlation Plot We can calculate the correlation coefficients be...
There are a large number of Python AutoML libraries for fasting and simplifying machine learning tasks, such as H20, Pycaret Automl, and more. Here we are going to discuss salesforce Merlion library which has more features than some other libraries. It supports univariate and multivariate time se...
Python modules ModuleVersionDescription azureml-model-management-sdk1.0.1Classes and functions to authenticate, deploy, manage, and consume analytic web services in Python. microsoftml9.4A collection of Python functions used for machine learning operations, including training and transformations, scorin...
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection, covering both concept and data drift. We have designed it to be compatible with any machine learning framework and...
Because probabilistic models are often implemented using Python machine-learning libraries, users are often required to interact with interfaces and objects that are lower level in nature than those used in popular environments for single-cell data analysis like Bioconductor6, Seurat7 or Scanpy8. This...
we looked at DoWhy features, such as arrow strengths, intrinsic causal influences, anomaly attribution and distribution change attribution. But did you know that DoWhy can also be used for estimating average treatment effects, causal structure learning, diagnosis of causal structur...
Autograd: The Missing Machine Learning Library Wait, people use libraries other than TensorFlow and PyTorch? Ask a group of deep learning practitioners for their programming language of choice and you’ll undoubtedly hear a lot about Python. Ask about their go-to machine learning library, on the...
cross-library environment transforms(1), executed on device and in a vectorized fashion(2), which process and prepare the data coming out of the environments to be used by the agent: Code env_make = lambda: GymEnv("Pendulum-v1", from_pixels=True) env_base = ParallelEnv(4, env_make...