Showing 1801-1820 of 7,695 projects
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
A comprehensive list of recommender systems and related resources for developers.
MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.
This repository provides interview preparation resources for AI and machine learning developers.
A practical guide for LLM engineers, covering fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices.
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
A machine learning package built to make AI-powered development more accessible for developers.
Two conversational AI agents that switch from English to a sound-level protocol after confirming they are both AI
This repo contains a course on Deep Reinforcement Learning from Hugging Face.
This is a library for working with geometric deep learning algorithms, built by the Google DeepMind team.
Lucida is a speech and vision based intelligent personal assistant built with Java.
A comprehensive collection of geospatial tools and resources for data analysis, machine learning, and spatial applications.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
An AI-powered tool for automatically fishing in the game Genshin Impact, built with deep reinforcement learning.
A Python library that enables high-quality background removal for images and videos using deep learning.
A web UI for interacting with large language models and multimodal AI systems.
Official implementation of a paper on segmentation models for computer vision tasks.
A deep learning-based library for person re-identification in PyTorch.
A lightweight, WebAssembly-powered Jupyter notebook running in the browser for AI and data science workflows.
A comprehensive Chinese textbook on machine learning systems design and implementation.
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