Showing 461-480 of 4,064 projects
A comprehensive e-commerce platform built with Spring Boot, Thymeleaf, Vue.js, and various microservices.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities.
A pattern-based approach to learn technical interview questions in JavaScript.
A comprehensive paper list of object detection using deep learning for computer vision developers.
A free resource for developers to dive into machine learning with Python and Jupyter Notebook.
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
A PyTorch-based toolkit for speech processing, including ASR, speaker recognition, and speech enhancement.
A collaboration-friendly studio for building NeRF-based 3D reconstructions using PyTorch and other ML tools.
A collection of front-end learning resources and interview questions for developers.
This is a Chinese translation and resource collection for the classic MIT course 'Structure and Interpretation of Computer Programs'.
A comprehensive Python learning resource covering AI, machine learning, web scraping, and more.
A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
A powerful library that simplifies the development of custom machine learning models using Python.
LAVIS is a comprehensive library for multimodal deep learning, including image captioning, visual question answering, and more.
FastPhotoStyle is a Python library for fast photorealistic style transfer using deep learning.
Deep learning library in JavaScript that allows training convolutional neural networks in the browser
A curated list of deep learning resources for computer vision developers
Kornia is a Python library for geometric computer vision and spatial AI tasks.
A collection of resources for learning AngularJS, a popular JavaScript framework for building web applications.
Open-source stack for industrial-grade LLM applications, including LLM gateway, observability, optimization, evaluation, and experimentation.
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