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  • 1
    Segment Anything

    Segment Anything

    Provides code for running inference with the SegmentAnything Model

    ...Because SAM was trained with an extremely large and diverse mask dataset, it tends to generalize well to new domains, making it a practical starting point for research and production annotation tools.
    Downloads: 2 This Week
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  • 2
    Phenaki - Pytorch

    Phenaki - Pytorch

    Implementation of Phenaki Video, which uses Mask GIT

    Implementation of Phenaki Video, which uses Mask GIT to produce text-guided videos of up to 2 minutes in length, in Pytorch. It will also combine another technique involving a token critic for potentially even better generations. A new paper suggests that instead of relying on the predicted probabilities of each token as a measure of confidence, one can train an extra critic to decide what to iteratively mask during sampling.
    Downloads: 2 This Week
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  • 3
    WanGP

    WanGP

    AI video generator optimized for low VRAM and older GPUs use

    ...Wan2GP provides a full web-based interface that simplifies interaction with complex generative pipelines, making it easier to configure prompts, models, and rendering settings. It also integrates a wide range of utilities such as prompt enhancement, mask editing, motion design, and extraction tools for pose, depth, and flow data to support advanced video workflows.
    Downloads: 53 This Week
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  • 4
    PasteGuard

    PasteGuard

    Masks sensitive data and secrets before they reach AI

    ...It sits between an application and the LLM provider, automatically replacing names, emails, tokens, and other personally identifiable information (PII) with placeholders so that external services never see raw sensitive values, and then optionally unmasking them in the returned output. PasteGuard supports two primary modes: mask mode, which anonymizes data and still uses external APIs; and route mode, which forwards sensitive requests to a local LLM inference engine while sending the rest to the cloud. It can be self-hosted via Docker, works with a wide range of SDKs and tools, and includes a browser extension for automatic protection in everyday AI chats.
    Downloads: 5 This Week
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  • 5
    SAM 2

    SAM 2

    The repository provides code for running inference with SAM 2

    ...SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. The project also includes scripts and notebooks to compare SAM2 against SAM on edge cases, benchmarks showing improvements, and evaluation suites to measure mask quality metrics like IoU and boundary error.
    Downloads: 7 This Week
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  • 6
    VOID

    VOID

    Video Object and Interaction Deletion

    ...Unlike traditional inpainting methods that only erase pixels or simple artifacts, VOID models the full interaction dynamics between objects and their environment, including shadows, reflections, and even physical consequences such as movement or balance changes. Built on top of transformer-based architectures and fine-tuned for video inpainting tasks, the system uses interaction-aware mask conditioning to ensure temporal consistency across frames. One of its most notable capabilities is its ability to simulate realistic scene behavior after object removal, such as causing an object to fall naturally if its support is removed, which significantly enhances realism.
    Downloads: 2 This Week
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  • 7
    OpenAI Privacy Filter

    OpenAI Privacy Filter

    Bidirectional token-classification model for identifiable info

    OpenAI Privacy Filter is an open-weight machine learning model designed to detect and mask personally identifiable information in text with high efficiency and contextual awareness. It operates as a bidirectional token classification system that labels sensitive data in a single forward pass rather than generating text sequentially, enabling fast processing for large datasets. The model supports long-context inputs, allowing it to analyze extensive documents without chunking, which improves consistency in redaction tasks. ...
    Downloads: 3 This Week
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  • 8
    HunyuanVideo-Avatar

    HunyuanVideo-Avatar

    Tencent Hunyuan Multimodal diffusion transformer (MM-DiT) model

    HunyuanVideo-Avatar is a multimodal diffusion transformer (MM-DiT) model by Tencent Hunyuan for animating static avatar images into dynamic, emotion-controllable, and multi-character dialogue videos, conditioned on audio. It addresses challenges of motion realism, identity consistency, and emotional alignment. Innovations include a character image injection module, an Audio Emotion Module for transferring emotion cues, and a Face-Aware Audio Adapter to isolate audio effects on faces,...
    Downloads: 2 This Week
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  • 9
    LISA

    LISA

    LISA: Reasoning Segmentation via Large Language Model

    ...The model integrates multimodal capabilities by combining language understanding with visual perception so that text instructions guide the segmentation process. Researchers created a specialized task called reasoning segmentation, where the model must generate a mask for regions described in natural language instructions.
    Downloads: 0 This Week
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  • 10
    Sygil WebUI

    Sygil WebUI

    Stable Diffusion web UI

    Sygil WebUI is a browser-based interface for running Stable Diffusion image generation locally or on a server, wrapping common text-to-image and image-to-image workflows into a practical UI. It provides multiple UI modes (including a legacy Gradio interface) and focuses on making iterative prompting, parameter tuning, and post-processing accessible without writing code. The UI exposes core generation controls like resolution, CFG guidance, sampling steps, samplers, seeds, and batch...
    Downloads: 0 This Week
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  • 11
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    ...For simpler training, you can directly supply text strings instead of precomputing text encodings. (Although for scaling purposes, you will definitely want to precompute the textual embeddings + mask)
    Downloads: 0 This Week
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  • 12
    ChatGPT Retrieval Plugin

    ChatGPT Retrieval Plugin

    The ChatGPT Retrieval Plugin lets you easily find personal documents

    The chatgpt-retrieval-plugin repository implements a semantic retrieval backend that lets ChatGPT (or GPT-powered tools) access private or organizational documents in natural language by combining vector search, embedding models, and plugin infrastructure. It can serve as a custom GPT plugin or function-calling backend so that a chat session can “look up” relevant documents based on user queries, inject those results into context, and respond more knowledgeably about a private knowledge...
    Downloads: 0 This Week
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  • 13
    ChatGPT Admin Web

    ChatGPT Admin Web

    ChatGPT WebUI

    ChatGPT WebUI with user management and background management system. Deploy your commercial ChatGPT web application for free.
    Downloads: 4 This Week
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  • 14
    Detectron

    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 training and evaluation pipelines that handle multi-GPU setups, standard datasets, and common augmentations, which helped standardize experimental practice in detection research. ...
    Downloads: 0 This Week
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  • 15
    Exadel CompreFace

    Exadel CompreFace

    Leading free and open-source face recognition system

    ...You don’t need prior machine learning skills to set up and use CompreFace. The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. ...
    Downloads: 18 This Week
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  • 16
    NÜWA - Pytorch

    NÜWA - Pytorch

    Implementation of NÜWA, attention network for text to video synthesis

    ...I think that direction is untapped for improving on this line of work. In the paper, they also present a way to condition the video generation based on segmentation mask(s). You can easily do this as well, given you train a VQGanVAE on the sketches beforehand. Then, you will use NUWASketch instead of NUWA, which can accept the sketch VAE as a reference. This repository will also offer a variant of NUWA that can produce both video and audio. For now, the audio will need to be encoded manually.
    Downloads: 0 This Week
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  • 17
    Mask2Former

    Mask2Former

    Code release for "Masked-attention Mask Transformer

    Mask2Former is a unified segmentation architecture that handles semantic, instance, and panoptic segmentation with one model and one training recipe. Its core idea is to cast segmentation as mask classification: a transformer decoder predicts a set of mask queries, each with an associated class score, eliminating the need for task-specific heads. A pixel decoder fuses multi-scale features and feeds masked attention in the transformer so each query focuses computation on its current spatial support. This leads to accurate masks with sharp boundaries and strong small-object performance while remaining efficient on high-resolution inputs. ...
    Downloads: 1 This Week
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  • 18
    bert4keras

    bert4keras

    Keras implement of transformers for humans

    ...The original intention of this project is for the convenience of modification and customization, so it may be updated frequently. Load the pre-trained weights of bert/roberta/albert for fine-tune. Implement the attention mask required by the language model and seq2seq. Pre-training code from zero (supports TPU, multi-GPU, please see pertaining). Compatible with keras, tf.keras.
    Downloads: 0 This Week
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  • 19
    Face Mask Detection

    Face Mask Detection

    Face Mask Detection system based on computer vision and deep learning

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. ...
    Downloads: 0 This Week
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  • 20
    Meihu-FaceBeauty-Live

    Meihu-FaceBeauty-Live

    Beauty can be applied to live broadcasts, short videos, and selfies

    Meihu beauty sdk is a mobile sdk with face recognition technology as the core, providing professional-grade real-time beauty, big eyes and face reduction, beauty filters, dynamic stickers and other filters, to create a multi-functional video beauty software The goal is to fully meet the beautification needs of customers in many audio and video software business scenarios such as live beauty and short video beauty. The open source version is now available for iOS, and the Android open source...
    Downloads: 0 This Week
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  • 21
    text-generator

    text-generator

    Golang text generator for generate SEO texts

    Golang text generator for generate SEO texts. Fast text generator on a mask. Written in Golang. I do not use regular expressions and the fastest. I covered tests and simple! Supporting recursive text generation rules.
    Downloads: 0 This Week
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  • 22
    Detectron2

    Detectron2

    Next-generation platform for object detection and segmentation

    Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. Can be used as a library to support different projects on top of it. We'll...
    Downloads: 0 This Week
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  • 23
    qiji-font

    qiji-font

    Typeface from Ming Dynasty woodblock printed books

    ...Manually lay a grid on top of each page to generate bounding boxes for characters (potentially replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest.
    Downloads: 0 This Week
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  • 24
    DensePose

    DensePose

    A real-time approach for mapping all human pixels of 2D RGB images

    ...DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. The model architecture builds on Mask R-CNN, using additional regression heads to predict UV coordinates that map image pixels to 3D surfaces.
    Downloads: 204 This Week
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  • 25

    Face recognition with mask

    Face recognition with mask

    戴口罩也變識得出的face recognition 將大頭照放images 下, 用人名命名 主畫面,點選encoding,將人臉特徵編碼 就可以在即時的webcam畫面看到便識結果 Face recognition that can be learned by wearing a mask Put the photo under images and name it Main screen, click encoding to encode facial features You can see the result of the recognition on the real-time webcam screen
    Downloads: 0 This Week
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