Showing 3541-3560 of 4,064 projects
A curated list of resources for relation extraction, a key NLP task, useful for vibe coders.
A collection of papers, repositories, and data related to anime and manga research, primarily focused on deep learning and machine learning.
AdvancedEAST is an algorithm for accurate scene text detection, with improvements over the EAST algorithm.
This is a Japanese vocabulary learning resource, not a developer tool for vibe coders.
This repository provides deep learning algorithm source code for beginners to learn and practice.
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.
This repository contains a series of challenges for learning the Frida framework for Android exploitation and reverse engineering.
AudioX is a Python library for audio processing and machine learning, designed for vibe coders.
A JavaScript library for trading Bitcoin and running forecasting models from the terminal.
A collection of machine learning datasets used in tutorials on MachineLearningMastery.com.
A comprehensive guide to learning JavaScript and programming fundamentals
A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.
An open-source Python framework for processing Earth observation data using machine learning.
A Python library for Soft Actor-Critic (SAC), a powerful reinforcement learning algorithm.
A real-time emotion recognition library using computer vision and deep learning.
A comprehensive roadmap for learning front-end or back-end web development.
This repository contains code and solutions for the Mathematics for Machine Learning (MML) book, a self-study resource for developers interested in the math behind machine learning.
A Pac-Man clone written in Go, with emojis, as a fun learning project for Go developers.
A JavaScript library that provides GPU-accelerated deep learning and neural network capabilities similar to PyTorch.
A Python package for causal inference in graphs and pairwise settings, with tools for graph structure recovery and dependencies.
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