Showing 1-20 of 83 projects
Distributed gradient boosting library for fast and accurate data science solutions
SHAP explains ML model outputs using Shapley values for interpretability.
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
An elegant way to show loading states and prepare users for the content they're awaiting in iOS apps.
A Swift & Objective-C color framework that supports gradients, hex codes, and extracting colors from images.
An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
An implementation of the YOLOv9 object detection model, a state-of-the-art computer vision AI.
Simple reinforcement learning tutorials in Python using TensorFlow for AI/ML developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
Pytorch implementation of convolutional neural network visualization techniques for deep learning practitioners.
An open-source, distributed machine learning platform with support for various algorithms and autoML.
A collection of advanced CSS styles to create realistic-looking effects for Pokemon card faces.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
A Vue.js library that provides a collection of beautiful color gradients for design and development projects.
Gorgonia is a Go library that helps facilitate machine learning and deep learning development.
A collection of CSS custom properties to help accelerate adaptive and consistent design.
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