Python modules provide powerful building blocks for extending Python’s functionalityacross various programming domains. This list of Python modulescovers the core categories of Python modules, focusing onsystem
python-lenses★304 - "A python lens library for manipulating deeply nested immutable structures". Functional programming languages that are not Python but are related to the Python ecosystem: Hy★4822 - "A dialect of Lisp that's embedded in Python". ...
PersistenceKit - Store and retrieve Codable objects to various persistence layers, in a couple lines of code! Shallows - Your lightweight persistence toolbox. ORM back to top fluent 🐧 - Simple ActiveRecord implementation. Perfect-CRUD 🐧 - CRUD is an object-relational mapping (ORM) system ...
It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". skynet - A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#. Feast...
The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis...
GNU MP bignum C++ interface A C++ convenience class interface that offers overloaded functions and operators. The GMP is a free C library for arbitrary precision arithmetic, operating on signed integers, rational and floating-point numbers. GNU LGPL v3 and GNU GPL v2 libmpdec++ A cross-platfor...
vel: Velocity in deep-learning research. nonechucks: Skip bad items in your PyTorch DataLoader, use Transforms as Filters, and more! torchstat: Model analyzer in PyTorch. QNNPACK: Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators. ...
Java List Interface - Learn about the Java List Interface, its methods, and how to implement it in your Java applications. Explore examples and best practices for using lists in Java.
paysage: Unsupervised learning and generative models in python/pytorch. pyvarinf: Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch. pyprob: A PyTorch-based library for probabilistic programming and inference compilation. ...
Apply different interest point operators in order to characterize an image content Exploit the image geometry in order to match different views of a pictured scene Calibrate the camera from different image observations Reconstruct selected image elements in 3D Learning IPython for Interactive Computing and...