Machine Learning · GitHub

Machine learning functions based on metamorph and machine learning pipelines

scikit-activeml: A Comprehensive and User-Friendly Active Learning Library for Reserach

machine learning with logical rules in Python

A machine learning package for streaming data in Python. The other ancestor of River.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI

Pytorch Bindings for warp-ctc

Data and code of my Medium story on stock prediction with TensorFlow

Syllable-aware BPE tokenizer for the Amharic language (አማርኛ) – fast, accurate, trainable.

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Peer-to-peer machine learning

Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.

V2E: From video frames to DVS events

A browser-based tool for image annotation