Showing 1261-1280 of 7,695 projects
Official release of the InternLM series of large language models focused on building AI tools and chatbots.
The LLM vulnerability scanner, a Python-based tool for identifying security vulnerabilities in large language models.
Real-time high-resolution background matting tool for computer vision and ML applications.
Experimental AI framework for automating video content creation on platforms like YouTube Shorts and TikTok.
A Keras-based implementation of the YOLOv3 object detection model for the TensorFlow backend.
A cross-platform image super-resolution tool built with TypeScript, Vue3, and PyTorch.
Provides libraries and tools for enabling machine learning-driven user experiences on the web.
TensorFlow's visualization toolkit for machine learning model debugging and exploration.
An open-source real-time observability system powered by AI for monitoring and alerting on servers and services.
A powerful, lightweight web scraping library for Python that can automate data extraction from websites.
An open-source Chinese voice assistant project that supports ChatGPT-like conversational abilities and brain-computer interface integration.
Flax is a flexible neural network library for JAX, designed for easy experimentation and research in machine learning.
An open-source SDK for working with quantum computers at the level of quantum circuits, operators, and primitives.
A curated list of skills and tools for the Claude AI language model, focused on vibe coders and AI-powered development.
An open-source Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
OptiScaler bridges upscaling/frame gen across GPUs, supporting DLSS2+, XeSS, FSR2+ and more.
Open-source script for improving object detection models, useful for vibe coders building AI-powered apps.
A Python library for 3D photography using context-aware layered depth inpainting.
Open-source multilingual multimodal chat language models for AI-powered chatbots and conversational agents.
Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.
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