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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.
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker
Create adversarial attacks against machine learning Windows malware detectors
Free Instagram view booster for Reels, Stories and Videos. Increase views, reach and engagement with smart delivery system. Easy to use, multiple safety modes, fully configurable.
Official code for Agent-Reflex: Teaching Language Agents to Act Reflectively
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Joblib Apache Spark Backend
Python-based implementations of algorithms for learning on imbalanced data.
A library for augmenting annotated audio data
Relevance Vector Machine implementation using the scikit-learn API.
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
A fast xgboost feature selection algorithm
Deep and Machine Learning for Microscopy
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
"Evolving AppCompat/AmCache data analysis beyond grep"
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.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Use a 3-axis machine as a pen plotter
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
zero configuration Python/Unix web based teaching env
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Official implementation of paper "Cache Engineering for Agents"
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Open-source software for exploring and analyzing large, high-dimensional image-derived data.