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Showing 1151-1200 of 6,802 trending projects
An audio communication library in Python that enables secure data transfer over air-gapped systems.
Torch is a scientific computing framework for Lua and LuaJIT, used for building AI and machine learning applications.
An open-source, privacy-first desktop voice assistant that integrates local speech recognition and configurable language models.
Pure-Rust computer vision library that encapsulates the capabilities of OpenCV, OpenMVG, and vSLAM frameworks.
An open-source WeChat robot that integrates with popular AI models like ChatGPT, ChatGLM, and Tigerbot.
A Python library that provides a SQL-native memory layer for large language models, AI agents, and multi-agent systems.
This repository provides a curated collection of resources for Prompt Engineering with a focus on large language models like ChatGPT and GPT-3.
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
This repository provides an educational resource for learning machine learning from scratch using Jupyter Notebooks.
A TypeScript framework for building serverless AI agents with memory, easy to deploy with a single command.
Coloring black and white images using deep learning techniques, including a Jupyter Notebook tutorial.
A modular and extendible Python package for deep learning-based click-through rate prediction models.
Wrapper around tool using LLMs for agentic workflows for vibe coders (AI-focused developers)
An open-source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Adversary simulation and Red teaming platform with AI capabilities for security researchers and penetration testers.
A library for training reusable controllers for physically simulated characters using adversarial skill embeddings.
A powerful C++ library for building causal models and performing advanced statistical analysis.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
A JavaScript library for creating neural style transfer images, a type of AI-powered image generation.
Provides explanations of key concepts in machine learning for developers.
SuperSonic is an AI+BI platform that unifies Chat BI and Headless BI paradigms for developers.
This GitHub repository contains implementations and illustrative code to accompany DeepMind's AI research publications.
Accessible large language models via k-bit quantization for PyTorch developers working with AI tools.
An AI-powered smart novel creation assistant to help you easily craft captivating stories.
A CVPR 2025 video diffusion model that enables fast autoregressive video generation from slow bidirectional models.
A comprehensive tutorial for the LangChain library, a framework for building applications with large language models.
k8sgpt is a Go-based tool that makes it easy for developers to use AI-powered tools like GPT-3 for Kubernetes management and automation
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
Comprehensive cheatsheet for learning and using transformers and large language models from Stanford's CME 295 course.
A curated list of papers and resources on large language model (LLM) agents, covering methodologies, applications, and challenges.
Official repository for a research project on investigating trade-offs in real-world video super-resolution.
Open-source simulator for autonomous vehicles and drones, built on Unreal Engine, with AI and computer vision capabilities.
An AI-powered personalized learning assistant that leverages large language models and multi-agent systems.
A Python library for generating multi-view-consistent images from a single-view image using diffusion models.
An open-source implementation of a Flow Matching Model for training AI agents via online reinforcement learning.
A high-performance Rust-based inference engine for deploying AI models in production.
This repository provides an AI-powered toolkit for developing applications with the Rockchip RKNN inference engine.
A curated collection of NLP paper summaries for developers interested in natural language processing.
A Python package for uncertainty quantification and hallucination detection in large language models (LLMs)
A go-based tool to process images with features like color palette extraction, OCR, upscaling, and more.
A lightweight PyTorch library with training tools and utilities for deep learning and machine learning developers.
Easiest way to build multi-agent LLM applications for vibe coders using Python and LangChain.
A collection of Jupyter Notebook codes and tutorials for a variety of AI projects and data science tasks.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Flower is a federated learning framework that enables machine learning on decentralized data.
ERNIE is an industrial-grade development toolkit based on PaddlePaddle for building AI-powered applications.
A high-performance image segmentation library that uses bilateral reference for dichotomous image segmentation.
PyTorch code for a CVPR 2018 paper on few-shot learning, a technique for training ML models with limited data.
A modular full-stack reinforcement learning library for large language models (LLMs).
A comprehensive SDK for adding camera effects, video editing, and live streaming features to Android apps.
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