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A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.
A Keras port of the Single Shot MultiBox Detector (SSD) for object detection in computer vision.
A C++ implementation of Stable Diffusion, supporting txt2img and img2img, optimized for Android and other mobile devices.
A Jupyter Notebook project that uses TensorFlow and CNN to solve image captchas with over 90% accuracy.
Facebook AI Research's deprecated object detection platform, now replaced by detectron2.
An open-source implementation of Microsoft's VALL-E X zero-shot text-to-speech model, enabling voice cloning and emotional speech synthesis.
This open-source project is a deep learning-based music generation and understanding system for AI-powered music creation.
Baby Dragon Hatchling (BDH) is an AI-powered architecture and code repository for vibe coders.
Ax is an Adaptive Experimentation Platform for building, deploying, and analyzing experiments.
A YOLOv5-based object detection system for detecting safety helmets and restricted areas on construction sites.
A wrapper library around the ChatGPT and OpenAI HTTP API, enabling Swift developers to integrate AI tools into their apps.
An open-vocabulary video segmentation model that can track any object in a video, for video editing and processing.
A Python re-implementation of the pi0 vision-language-action (VLA) model for developers working with AI tools.
A .NET/C# binding for Baidu's Paddle Inference library and PaddleOCR, enabling AI/ML integrations.
An open-source Java toolkit for building, evaluating, and deploying sophisticated AI agents.
An AI-powered video agent framework for next-generation video interactions and workflows.
A speech recognition server based on Vosk and Kaldi libraries, supporting WebSocket, gRPC, and WebRTC protocols.
An efficient 3D Gaussian splatting method for novel view synthesis from sparse multi-view images.
A math OCR model that outputs LaTeX and Markdown, useful for vibe coders working with AI tools.
A curated list of awesome GPT-based tools and resources for developers working with AI.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
Python library for optimal transport and related problems, useful for machine learning tasks.
A Python implementation of DragGAN, an interactive point-based tool for manipulating generative image models.
OpenMM is a high-performance GPU-accelerated toolkit for molecular simulation and dynamics.
An AI-powered code review tool that instantly analyzes and suggests improvements to Python code.
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
A collection of modular datasets generated by GPT-4 for AI code generation and prompt engineering.
A fast and user-friendly runtime for running transformer models like BERT, GPT-2, and others on CPU and GPU.
A full Python interactive 3D Gaussian Splatting viewer for real-time editing and analyzing.
A scalable and efficient object detection library implemented in Keras and TensorFlow for vibe coders.
A state-of-the-art discrete acoustic codec model for audio language modeling with 40/75 tokens per second.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
Build agents controlled by large language models (LLMs) using the LangChain framework.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
This repository tracks the latest advancements in Simultaneous Localization and Mapping (SLAM) research.
A library for training AI models on circuit designs, likely useful for vibe coders working on AI-powered hardware.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
A Python package for chatting with an AI model and executing the InstructLab workflow to train a model using custom taxonomy data.
This is an EPFL course on optimization for machine learning, focused on Jupyter Notebook usage.
Real-time photorealistic talking-head animation system built with Python and deep learning.
Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.
Hasktorch provides a Haskell API for tensors and neural networks, enabling developers to build AI applications in a functional programming language.
A Go-based library for developers building AI-powered tools and applications.
An open-source video perception toolbox for object detection, tracking, and instance segmentation tasks.
Open-source platform for evaluating state-of-the-art in AI and machine learning models and challenges.
A dynamically typed scripting language written in Rust for vibe coders and AI-powered development.
A suite of tools that enable developers to build and monitor AI systems more responsibly.
A library of code samples and examples for deep learning and computer vision, targeting beginners.
Open-source RPA framework for Python and Robot Framework, focused on automation and AI-powered document processing.
A curated list of recent Transformer-based computer vision papers and implementations.
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