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  • 1
    Old Photo Restoration

    Old Photo Restoration

    Bringing Old Photo Back to Life (CVPR 2020 oral)

    We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two variational autoencoders (VAEs) to respectively transform old photos and clean photos into two latent spaces. ...
    Downloads: 1 This Week
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  • 2
    Figaro

    Figaro

    Real-time voice-changer for voice-chat, etc.

    Figaro is an open-source real-time voice modification program and soundboard for voice chat and audio routing workflows. It can be used with virtual audio input and output devices so filtered audio can be sent into apps such as Discord. The project supports both CLI and GUI usage paths, making it useful for technical users and more visual workflows. Its feature roadmap includes audio device selection, live audio graphs, filter controls, sound effects, and scriptable hotkeys.
    Downloads: 8 This Week
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  • 3
    Trape

    Trape

    OSINT tool for tracking users and analyzing browser data online

    Trape is an open source OSINT analysis and research tool designed to track and analyze users on the internet in real time. The project focuses on demonstrating how web browsers can reveal sensitive information about users while interacting with websites and online services. It provides researchers, security professionals, and organizations with a platform for studying how attackers could gather intelligence through social engineering techniques.
    Downloads: 45 This Week
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  • 4
    Practice Python

    Practice Python

    Part of my daily plan for studying Python

    practice-python provides a structured set of small, focused exercises aimed at building fluency with Python fundamentals. The tasks emphasize real coding over passive reading, nudging you to write, run, and iterate on solutions. Exercises commonly target strings, lists, dictionaries, control flow, functions, classes, and common algorithms, reinforcing idiomatic Python patterns. Many problems are intentionally minimal in boilerplate so you can concentrate on logic and clarity.
    Downloads: 0 This Week
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  • 5
    U-Net Fusion RFI

    U-Net Fusion RFI

    U-Net for RFI Detection based on @jakeret's implementation

    See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert." Additional work is being done to add custom layers to...
    Downloads: 0 This Week
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  • 6
    RegexAssistant

    RegexAssistant

    Regex Windows GUI app to help learn, create,& test Regular Expressions

    RegexAssistant is a Regex GUI application to help learn, create, and test Regular Expressions. It's an open source stand alone Windows application. RegexAssistant is great for beginners and intermediate-advanced regex users. -It helps beginners to learn regex by providing examples and token cheat-sheet. -Intermediate-advanced users can use RegexAssistant to test complex expressions.
    Downloads: 2 This Week
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  • 7
    YOLOv4-large

    YOLOv4-large

    Scaled-YOLOv4: Scaling Cross Stage Partial Network

    YOLOv4-large is an open-source implementation of the Scaled-YOLOv4 object detection architecture, designed to improve both the accuracy and scalability of real-time computer vision models. The project provides a PyTorch implementation of the Scaled-YOLOv4 framework, which extends the original YOLOv4 architecture using Cross Stage Partial (CSP) networks and new scaling techniques. Unlike earlier object detection systems that only scale depth or width, this architecture scales multiple aspects of the neural network including structure, resolution, and channel configuration. ...
    Downloads: 0 This Week
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  • 8
    Chatette

    Chatette

    A powerful dataset generator for Rasa NLU, inspired by Chatito

    Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.​
    Downloads: 0 This Week
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  • 9
    BlackMamba

    BlackMamba

    C2/post-exploitation framework

    Black Mamba is a Command and Control (C2) that works with multiple connections at same time. It was developed with Python and with Qt Framework and have multiple features for a post-exploitation step.
    Downloads: 1 This Week
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  • 10
    Nerfies

    Nerfies

    This is the code for Deformable Neural Radiance Fields

    Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting.
    Downloads: 0 This Week
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  • 11
    DensePose

    DensePose

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

    ...The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. 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: 849 This Week
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  • 12
    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. ...
    Downloads: 66 This Week
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  • 13
    Denoiser

    Denoiser

    Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

    Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output.
    Downloads: 3 This Week
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  • 14
    Big List of Naughty Strings

    Big List of Naughty Strings

    List of strings which have a high probability of causing issues

    ...The list is language-agnostic and repository-friendly, meaning you can consume it from CI pipelines or local scripts with minimal setup. Because it’s crowdsourced, it reflects real issues practitioners have faced in production, not just theoretical cases. Using the list regularly helps harden applications against the fragile edges of text processing and user input.
    Downloads: 0 This Week
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  • 15
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ...We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.
    Downloads: 0 This Week
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  • 16
    Zebrunner Community Edition

    Zebrunner Community Edition

    Test Automation Management Tool

    Zebrunner CE (Community Edition) is a Test Automation Management Tool for continuous testing and continuous deployment. It allows you to run various kinds of tests and gain successive levels of confidence in the code quality. Zebrunner CE is integrated by default with Carina open-source TestNG framework and uses Jenkins as a CI Tool. It is built on top of popular docker solutions and includes Postgres database, Zebrunner Reporting, Jenkins Master/Slaves Nodes, Selenium Hub, Mobile...
    Downloads: 0 This Week
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  • 17
    MLOps Course

    MLOps Course

    Learn how to design, develop, deploy and iterate on ML apps

    ...Instead of focusing only on model training, the course emphasizes best practices like modular code design, CI/CD, containerization, reproducibility, and responsible ML (including monitoring and feedback loops). This makes it particularly valuable for engineers transitioning from “notebooks and prototypes” to real systems that must be robust, maintainable, and observable in production.
    Downloads: 0 This Week
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  • 18
    earthengine-py-notebooks

    earthengine-py-notebooks

    A collection of 360+ Jupyter Python notebook examples

    earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. ...
    Downloads: 0 This Week
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  • 19
    MetaHash

    MetaHash

    #MetaHash is a next-generation network based on the Blockchain 4.0

    #MetaHash is a next-generation network based on the Blockchain 4.0 technology for sharing digital assets and a platform for creating and managing decentralized apps and services in real-time. The #MetaHash project implements a solution that simultaneously possesses all the qualities of Blockchain new generation, namely: - Decentralization, which ensures absolute trust of users to the network; - Full synchronization, thanks to which each user has instant access to the most relevant data; - А transaction speed of up to 3 seconds, which provides unconditional ease of system using and a guarantee of the full operation of decentralized applications; - High bandwidth, which allows the network to keep transaction prices low due to the fact that a similar amount of resources can confirm more transactions per unit time; - Low commissions, due to which a huge number of potential customers will be interested in using the network for transfer and storage of payment means and technical data
    Downloads: 1 This Week
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  • 20
    Mininet

    Mininet

    Emulator for rapid prototyping of Software Defined Networks

    Mininet creates a realistic virtual network, running real kernel, switch and application code, on a single machine (VM, cloud or native), in seconds, with a single command. Because you can easily interact with your network using the Mininet CLI (and API), customize it, share it with others, or deploy it on real hardware, Mininet is useful for development, teaching, and research. Mininet is also a great way to develop, share, and experiment with Software-Defined Networking (SDN) systems using OpenFlow and P4. ...
    Downloads: 18 This Week
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  • 21
    Secret Bian

    Secret Bian

    Similar as board game Secret Hitler

    Secret Bian and Secret Trump are the game similar as board game Secret Hitler. It's local game with single human player and 9 computer AI player. All display characters are English for Secret Trump. All display font is Traditional Chinese for Secret Bian. This game is coded with python 3 and pygame. Latest code in GitLab. There are the English and Chinese README.txt described game rule for Secret Trump. You can download Trump version (secret trump)...
    Downloads: 0 This Week
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  • 22
    Florence

    Florence

    On-screen virtual keyboard

    Florence is an extensible scalable on-screen virtual keyboard for GNOME that stays out of your way when not needed. You need it if you can't use a real keyboard either because of a handicap, broken keyboard or tablet PC but you can use a pointing devide.
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    Downloads: 101 This Week
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  • 23
    ngxtop

    ngxtop

    Real-time metrics for nginx server

    ...Users can also customize queries, grouping logic, and filters to analyze specific traffic patterns or metrics. By combining the familiarity of the UNIX top paradigm with flexible log parsing, ngxtop offers a lightweight yet powerful approach to real-time web server observability.
    Downloads: 0 This Week
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  • 24
    video-to-ascii

    video-to-ascii

    It is a simple python package to play videos in the terminal

    video-to-ascii is a Python-based command-line tool that converts and plays video files directly in the terminal using ASCII characters as visual representations. It processes each frame of a video, maps pixel brightness and color values to characters, and renders them in real time within terminal constraints. The tool adapts video resolution to match terminal dimensions, ensuring a coherent and readable output despite limited character space. It can optionally include audio playback when additional dependencies such as FFmpeg and PortAudio are installed. The project supports multiple rendering strategies and allows exporting ASCII output to files for sharing or reuse. ...
    Downloads: 0 This Week
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  • 25
    KlayGE is an open source, cross-platform game engine with plugin-based architecture. It provides a framework to make game development, testing, porting as simple as possible.
    Downloads: 1 This Week
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