Search Results for "deep-live-cam"
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Showing 5913 open source projects for "deep-live-cam"
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1
Deep-Live-Cam
Real time face swap and one-click video deepfake
Real time face swap and one-click video deepfake with only a single image. Choose a face (image with the desired face) and the target image/video (image/video in which you want to replace the face) and click on Start. Open File Explorer and navigate to the directory you select your output to be in. You will find a directory named <video_title> where you can see the frames being swapped in real time. Once the processing is done, it will create the output file. -
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Deep Research
Use any LLMs (Large Language Models) for Deep Research
Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. -
3
Deep Chat
Customizable AI chat component for websites with API support
Deep Chat is a highly customizable web component designed to simplify the integration of AI-powered chat interfaces into websites. It allows developers to embed a fully functional chatbot using minimal setup, while still offering extensive control over behavior, appearance, and integrations. Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. -
4
frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can... -
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5
Deep Lake
Data Lake for Deep Learning. Build, manage, and query datasets
Deep Lake (formerly known as Activeloop Hub) is a data lake for deep learning applications. Our open-source dataset format is optimized for rapid streaming and querying of data while training models at scale, and it includes a simple API for creating, storing, and collaborating on AI datasets of any size. It can be deployed locally or in the cloud, and it enables you to store all of your data in one place, ranging from simple annotations to large videos. -
6
Live Svelte
Svelte inside Phoenix LiveView with seamless end-to-end reactivity
live_svelte bridges Phoenix LiveView with Svelte components, letting you blend server-driven UIs and client-side interactivity in a single application. It mounts Svelte components from HEEx templates and wires props and events through a small interop layer, so data flows cleanly between LiveView assigns and Svelte state. The integration supports dispatching client events back to LiveView and pushing updates down to the component without writing custom glue for every case. This makes it... -
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Live-Forensicator
A suite of Tools to aid Incidence Response and Live Forensics
...Because live collection can alter system state, Live-Forensicator includes options to limit intrusive actions and to capture hashes, timestamps, and provenance metadata to aid later validation. The output bundles are often compatible with other forensic parsers and workflows, which helps teams move from initial triage to deep-dive forensic analysis without re-running collection tasks. -
8
ESP32-CAM_MJPEG2SD
ESP32 Camera motion capture application to record JPEGs to SD card
...The ESP32 cannot support all of the features as it will run out of heap space. For better functionality and performance, use one of the new ESP32S3 camera boards, eg Freenove ESP32S3 Cam, and ESP32S3 XIAO Sense, but avoid no-name boards marked ESPS3 RE:1.0. -
9
Open Deep Research
An AI-powered research assistant that performs iterative research
Deep Research is a lightweight AI research agent designed to autonomously investigate complex topics through iterative web exploration and reasoning. The project combines search engines, web scraping, and large language models to progressively refine its understanding of a user’s query and dive deeper over multiple cycles. Its core goal is to provide the simplest possible implementation of a deep research workflow so developers can study and extend agent behavior without dealing with large, opaque codebases. ... -
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10
Auto-Deep-Research
Your Fully-Automated Personal AI Assistant
Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction, metric evaluation, and structured writing. ... -
11
Deep Search Agent
Implement a concise and clear Deep Search Agent from 0
Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses. -
12
Deep Learning Is Nothing
Deep learning concepts in an approachable style
Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. -
13
Advanced AI explainability for PyTorch
Advanced AI Explainability for computer vision
pytorch-grad-cam is an open-source library that provides advanced explainable AI techniques for interpreting the predictions of deep learning models used in computer vision. The project implements Grad-CAM and several related visualization methods that highlight the regions of an image that most strongly influence a neural network’s decision. These visualization techniques allow developers and researchers to better understand how convolutional neural networks and transformer-based vision models make predictions. ... -
14
Dart Simple Live
Cross-platform client for streaming and viewing live broadcasts
Dart Simple Live (a.k.a. Simple Live) is a cross-platform client for streaming and viewing live broadcasts. Built on a core Dart library, it supports multiple streaming platforms such as Huya, Douyu, Bilibili, and Douyin, along with live chat (danmaku). It includes apps for mobile, desktop, and TV platforms, offering a unified streaming experience with no ads. -
15
Muzei Live Wallpaper
A living museum for your Android home screen
Muzei Live Wallpaper is a live wallpaper for your Android device that gently refreshes your home screen every day. It features beautiful, famous works of art on your home screen. Alternatively, it can also feature your favorite photos from your own gallery or other apps, rotating the photos every few hours to keep your wallpaper fresh. When needed, Muzei will blur and dim the wallpaper into the background to let icons and widgets take center stage. -
16
AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). -
17
Deep Blue Thesaurus Conversion
An open source free input method thesaurus conversion program
An input method thesaurus conversion software, supports the following more than 20 input method tools and thesaurus. This program supports batch conversion (drag and drop multiple thesaurus files at a time, or hold down Ctrl to select multiple files), support command line mode (use -? command to view help under the command line), and support Windows, Linux, and MacOS. Supports Cangjie, Erbi (Super Strong Erbi, Qingsong Erbi, etc.), Pinyin (full spelling, double spelling), Wubi (Wubi 86, Wubi... -
18
Live helper chat
Live support for your website. Featuring web and mobile apps
Live helper chat is a mature, open-source customer support platform that enables real-time communication between businesses and website visitors through chat, messaging, and integrated communication channels. Designed to handle high volumes of interactions, it can support thousands of concurrent conversations and multiple operators, making it suitable for enterprise-level deployments. -
19
AI Agent Deep Dive
AI Agent Source Code Deep Research Report
AI Agent Deep Dive is a comprehensive educational repository designed to provide a deep and structured understanding of how modern AI agents work, focusing on architecture, workflows, and real-world implementation patterns. It breaks down complex concepts such as planning, tool usage, memory management, and multi-step reasoning into digestible explanations and practical examples. -
20
Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
Live Agent Studio is a curated repository of open-source AI agents associated with the oTTomator Live Agent Studio platform, showcasing a variety of agent implementations that illustrate how autonomous and semi-autonomous tools can be constructed using modern AI frameworks. Each agent in the collection is designed for a specific use case — such as content summarization, task automation, travel planning, or RAG workflows — and is provided with the code or configuration needed to explore and extend it on your own, making the repository both a learning resource and a practical starting point for real projects. ... -
21
Vanilla OS Live ISO Builder
Vanilla OS Live ISO Builder.
Vanilla OS Live ISO provides the official live environment and installer for Vanilla OS, a Linux distribution that blends immutability, security, and user-friendliness. Built on Ubuntu with an immutable root file system, Vanilla OS uses ABRoot and Distrobox to offer transactional updates and containerized app environments. The live ISO project enables users to boot and test the OS without installation, and includes the Calamares installer to simplify the setup process. ... -
22
Mole
🐹 Deep clean and optimize your Mac.
...It also includes optimization routines that rebuild caches, reset network services, trim swap files, and refresh indexes to keep the system feeling responsive. An interactive disk analyzer view helps you navigate directories with the keyboard to find space hogs, while status commands surface live CPU, memory, disk, and network metrics. -
23
Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. ... -
24
Deep Research Web UI
AI-powered research assistant that performs iterative, deep research
Deep Research Web UI is an AI-powered research assistant interface designed to automate complex, multi-step information gathering workflows through a combination of search engines, web scraping, and large language models. It operates as a front-end system for deep research agents that iteratively refine queries, retrieve information from multiple sources, and synthesize structured outputs into coherent reports. -
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The Machine & Deep Learning Compendium
List of references in my private & single document
The Machine & Deep Learning Compendium is an open-source knowledge repository that compiles summaries, references, and learning materials related to machine learning and deep learning. The project functions as a comprehensive compendium that organizes hundreds of topics covering algorithms, frameworks, research areas, and practical machine learning workflows.
