Fuzzy abbreviations, support for preprocessors (Sass, Less, Stylus) and a lot of other features in easily configurable set of tools for writing CSS faster
- sublime-text-3
- sublime-package
- snippets
- abbreviations
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Fuzzy abbreviations, support for preprocessors (Sass, Less, Stylus) and a lot of other features in easily configurable set of tools for writing CSS faster
OpenFE: automated feature generation with expert-level performance
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Native Pokémon Emerald port for Nintendo 3DS, featuring dual-screen gameplay, stereoscopic 3D, and a fully 3D world.
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Nimfa: Nonnegative matrix factorization in Python
v1.2 - UI tool for manage Espressif ESP32 microcontrollers with embedded MicroPython for MacOS, Windows and Linux: mini IDE, files manager, REPL, real time dashboards (sys/net), advanced features (gpio/mp3/leds/...)
:sound: spafe: Simplified Python Audio Features Extraction
A Python toolkit for processing tabular data
A Full Featured GPS NMEA-0183 sentence parser for use with Micropython and the PyBoard embedded platform
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A framework for automated extraction of static and dynamic features from Android applications
A fully featured, pythonic library for representing and using quaternions
Genetic feature selection module for scikit-learn
Enhance the standard unittest package with features for testing asyncio libraries
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
A fast xgboost feature selection algorithm
Feather agent harness, training integrations, and evaluation tools for knowledge work
TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.