Search Results for "vision" - Page 13
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Showing 800 open source projects for "vision"
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Hiera
A fast, powerful, and simple hierarchical vision transformer
Hiera is a hierarchical vision transformer designed to be fast, simple, and strong across image and video recognition tasks. The core idea is to use straightforward hierarchical attention with a minimal set of architectural “bells and whistles,” achieving competitive or superior accuracy while being markedly faster at inference and often faster to train. The repository provides installation options (from source or Torch Hub), a model zoo with pre-trained checkpoints, and code for evaluation and fine-tuning on standard benchmarks. ... -
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Computer vision projects
computer vision projects | Fun AI projects related to computer vision
Computer vision projects is an open-source collection of computer vision projects and experiments that demonstrate practical applications of modern AI techniques in image processing, robotics, and real-time visual analysis. The repository includes multiple demonstration systems implemented using languages such as Python and C++, covering topics ranging from object detection to embedded vision systems. -
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A Survey of Surveys
A collection of 1000+ survey papers on Natural Language Processing
...Rather than focusing on code implementations, the repository functions as an academic resource that helps researchers quickly discover comprehensive survey papers covering various topics. These topics include areas such as neural machine translation, language models, computer vision, and deep learning architectures. The repository organizes hundreds of papers into thematic categories and includes references, links, and bibliographic information to facilitate research and literature exploration. -
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LLaVA
Visual Instruction Tuning: Large Language-and-Vision Assistant
Visual instruction tuning towards large language and vision models with GPT-4 level capabilities. -
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AI Employe
Create browser automation as if you were teaching a human using GPT-4
...Please sign up for a Firebase account and create a project. There are several techniques for this, ranging from sending a shortened form of HTML to GPT-3, creating a bounding box with IDs and sending it to GPT-4-vision to take actions, or directly asking GPT-4-vision to obtain the X and Y coordinates of the element. However, none of these methods were reliable; they all led to hallucinations. To prevent GPT from derailing from tasks, we use a technique that is akin to retrieval-augmented generation, but we kind of call it Actions Augmented Generation. ... -
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Open-CD
A Change Detection Repo Standing on the Shoulders of Giants
Open-CD is an open source change detection toolbox based on a series of open source general vision task tools. -
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DeiT (Data-efficient Image Transformers)
Official DeiT repository
DeiT (Data-efficient Image Transformers) shows that Vision Transformers can be trained competitively on ImageNet-1k without external data by using strong training recipes and knowledge distillation. Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. -
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PyDenseCRF
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs
PyDenseCRF is a Python library that provides a wrapper around the implementation of fully connected Conditional Random Fields (CRFs) developed by Philipp Krähenbühl and Vladlen Koltun. The project allows developers and researchers to integrate Dense CRF inference into Python-based machine learning pipelines, particularly for computer vision tasks such as image segmentation and labeling. Conditional Random Fields are probabilistic graphical models used to model contextual relationships between neighboring pixels or features, improving prediction consistency across images. By implementing a fully connected CRF model with Gaussian edge potentials, the library enables efficient inference across all pixel pairs in an image rather than only local neighborhoods. ... -
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Weak-to-Strong
Implements weak-to-strong learning for training stronger ML models
...Its core functionality focuses on binary classification tasks, with support for fine-tuning pretrained language models and experimenting with different loss functions, including confidence-based auxiliary losses. The repository also includes a dedicated vision module for applying weak-to-strong training setups in computer vision, demonstrated with models such as AlexNet and DINO on ImageNet. Although the code is not fully production-tested, it reproduces qualitatively similar results to the experiments presented in the paper, especially when comparing large model size gaps. -
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ModelFusion
The TypeScript library for building AI applications
...Instead of writing separate integration logic for each provider, developers can use ModelFusion to handle common operations such as text generation, structured object generation, streaming responses, and tool calls. The library supports a wide range of model types, including text generation models, vision models, text-to-speech engines, speech-to-text systems, and embedding models. It also includes built-in production features such as observability hooks, logging, automatic retries, and error handling mechanisms that improve reliability when deploying AI systems in real-world environments. -
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ML YouTube Courses
Discover the latest machine learning / AI courses on YouTube
...The repository organizes lectures from top universities and educators into a structured list so learners can quickly find reputable material. It covers a wide range of topics including deep learning, NLP, probabilistic modeling, reinforcement learning, and computer vision. The project reflects DAIR.AI’s broader mission to democratize access to AI education for the global community. Rather than hosting course content itself, it acts as a discovery hub pointing learners to the most valuable freely available video curricula. The list is periodically updated to include new courses and maintain relevance. ... -
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Flutter
Flutter makes it easy and fast to build beautiful apps for mobile
Flutter is Google’s open-source UI toolkit for building natively compiled, high-performance, visually expressive apps from a single codebase targeting mobile (iOS, Android), web, desktop (Windows, macOS, Linux), and embedded platforms. We want to enable designers to deliver their full creative vision without being forced to water it down due to limitations of the underlying framework. Flutter's layered architecture gives you control over every pixel on the screen and its powerful compositing capabilities let you overlay and animate graphics, video, text, and controls without limitation. Flutter includes a full set of widgets that deliver pixel-perfect experiences, whether you're building for iOS (Cupertino) or other platforms (Material), along with support for customizing or creating entirely new visual components. -
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Amica
Amica is an open source interface for interactive communication
Amica is an open source interface for interacting with fully animated 3D characters that combine voice chat, vision, and an emotion engine into a single experience. It lets you hold natural conversations with AI characters that can see, listen, and speak, while expressing emotional states through facial expressions and body language. Users can import VRM character models, adjust their appearance, tune the voice to match the character, and define behavior using different large language models and TTS backends. ... -
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downkyi
Bilibili video downloader supporting 8K, batch, and toolbox tools
downkyi is an open-source downloader for Bilibili videos. It features a clean UI, QR-code login, batch downloads, support for 8K, HDR, Dolby Vision, audio/video extraction, watermark removal, and subtitle/danmaku retrieval. It leverages aria2c for multi-threaded downloading and FFmpeg for muxing and processing. -
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. -
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AI-Aimbot
CS2, Valorant, Fortnite, APEX, every game
AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. ... -
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OpenMVG
open Multiple View Geometry library. Basis for 3D computer vision
openMVG is an open-source C++ library for multiple-view geometry, photogrammetry, and Structure from Motion. It provides an end-to-end framework for reconstructing 3D scenes from collections of ordinary images. Its libraries cover image handling, feature description, feature matching, feature tracking, camera models, triangulation, robust estimation, and geometric solvers. Command-line binaries handle individual reconstruction stages that can be combined into complete pipelines.... -
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Exposure Correction
Learning multi-scale deep model correcting over- and under- exposed
Exposure_Correction is a research project that provides the implementation for the paper Learning Multi-Scale Photo Exposure Correction (CVPR 2021). The repository focuses on correcting poorly exposed photographs, handling both underexposure and overexposure using a deep learning approach. The method employs a multi-scale framework that learns to enhance images by adjusting exposure levels across different spatial resolutions. This allows the model to preserve fine details while correcting... -
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SCIPIO ERP
eCommerce framework for multinational omnichannel installations
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CoTracker
CoTracker is a model for tracking any point (pixel) on a video
CoTracker is a learning-based point tracking system that jointly follows many user-specified points across a video, rather than tracking each point independently. By reasoning about all tracks together, it can maintain temporal consistency, handle mutual occlusions, and reduce identity swaps when trajectories cross. The model takes sparse point queries on one frame and predicts their sub-pixel locations and a visibility score for every subsequent frame, producing long, coherent trajectories.... -
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EvaDB
Database system for building simpler and faster AI-powered application
Over the last decade, AI models have radically changed the world of natural language processing and computer vision. They are accurate on various tasks ranging from question answering to object tracking in videos. To use an AI model, the user needs to program against multiple low-level libraries, like PyTorch, Hugging Face, Open AI, etc. This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task. -
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Detectron
FAIR's research platform for object detection research
Detectron is an object detection and instance segmentation research framework that popularized many modern detection models in a single, reproducible codebase. Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. It includes... -
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ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 Paper/Code/Interpretation/Live Broadcast Collection
...The repository organizes papers and implementations into categories, allowing readers to explore different areas of computer vision research such as detection, segmentation, and generative models. -
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PosturePro
posture-regulator
A health tool for all sedentary people sitting in front of their computers all day. Utilizes computer vision to keep track of the users posture and plays an alert when that posture has degraded. The degradation value, time till alert plays, sound effect that plays, etc. are all customizable. Please add the preferred sound alert in the form of a .wav called sound.wav in the root of the exe. -
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Complete Machine Learning Package
A comprehensive machine learning repository containing 30+ notebooks
...Each notebook introduces theoretical ideas and then demonstrates how to implement them using Python libraries commonly used in data science, such as NumPy, pandas, scikit-learn, and TensorFlow. The repository also includes examples related to natural language processing, computer vision, and data visualization, giving learners exposure to several subfields of machine learning. By organizing the content into modular notebooks, the project allows users to explore topics independently and experiment with the code directly.
