Showing 1152 open source projects for "deep"

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  • 1
    Ignite UI CLI

    Ignite UI CLI

    Ignite UI Command-Line Interface by Infragistics

    A complete Angular components library of Angular-native UI controls and material-based UI components, including the fastest Angular data grid and 60+ high-performance charts! Compatible with Angular 16 and built to be enterprise-grade. Kickstart your next project with our drag-and-drop WYSIWYG App Builder for the fastest way to deliver high-performance Angular apps. Angular app development has never been easier with the cloud-based WYSIWYG drag & drop App Builder™. Instantly convert designs...
    Downloads: 0 This Week
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  • 2
    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. ...
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  • 3
    Computer Vision in Action

    Computer Vision in Action

    A computer vision closed-loop learning platform

    Computer Vision in Action is a practical, example-rich repository that demonstrates real-world applications of computer vision techniques and algorithms in Python, often using OpenCV, deep learning models, and related tooling. It serves as a hands-on companion for learners and engineers who want to understand not just the theory, but how computer vision is actually implemented for tasks like object detection, image classification, feature tracking, optical flow, and image segmentation. The repository includes structured code examples, scripts, and notebooks that cover pipeline construction, preprocessing, model inference, and visual output rendering, making it easy for newcomers or intermediate practitioners to adapt patterns to their own projects. ...
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  • 4
    IoTDB

    IoTDB

    Apache IoTDB

    Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. IoTDB can be installed on a local controller server in the factory to receive data from those devices. ...
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    Neon Wallet

    Neon Wallet

    Self-custodial wallet for managing digital assets

    Neon Wallet is a self-custodial wallet for managing digital assets on desktop and mobile, supporting Neo, Ethereum, and EVM networks, with full user control. Available as a desktop wallet on Windows, Mac OS X, and Linux, the NEON wallet allows users to claim GAS on the NEO network.
    Downloads: 0 This Week
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  • 6
    MuseGAN

    MuseGAN

    An AI for Music Generation

    MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track.
    Downloads: 2 This Week
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  • 7
    MegEngine

    MegEngine

    Easy-to-use deep learning framework with 3 key features

    MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ...
    Downloads: 6 This Week
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  • 8
    Wine Runner Wine Resource

    Wine Runner Wine Resource

    Wine Runner Wine Resource

    Wine Runner Wine Resource. Such as wine, Linux runtime and so on.
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    Downloads: 83 This Week
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  • 9
    astap program

    astap program

    Stacking program, astrometric (plate) solver, fits file viewer

    ASTAP, Astrometric STAcking Program, astrometric solver and FITS image viewer. This program can view, measure, "astrometric (plate) solve" and stack deep sky images. Main features: - Stacking of astronomical images including dark frame and flat field correction - Native fast astrometric (plate) solver. - Alignment using an internal star match routine, internal Plate Solver, manual or ephemeris. - FITS viewer with swipe functionality, deep sky and star annotation, photometry and CCD inspector...
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    Downloads: 2,452 This Week
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  • 10
    KeeperRL

    KeeperRL

    A downloadable game for Windows, macOS, and Linux

    ...When you control your minions the game becomes a classic roguelike, with turn-based and very tactical combat. You can also play as an adventurer and assault dungeons made by you or other players. You will dig deep into the mountain and build dozens of rooms, corridors and traps. Your minions will train and produce weapons and armor. Prisoners will be tortured. You will research new technologies like alchemy, beast mutation and sorcery. The world is simulated on a very detailed level. Creatures use equipment and consumable items. There are dozens of special items, spells, attributes and special attacks. ...
    Downloads: 3 This Week
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  • 11
    AudioCraft

    AudioCraft

    Audiocraft is a library for audio processing and generation

    AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides...
    Downloads: 9 This Week
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  • 12
    HNSKY

    HNSKY

    Hallo Northern Sky planetarium program

    Welcome to the semi professional free planetarium program HNSKY for MS-Windows and Linux. This program can control your telescope via the ASCOM or INDI interface, has a comprehensive up to date deep sky database with 30.000 objects and detailed descriptions. A star database with millions of stars and hundreds of Deep Sky Survey images which blends in accurately. Additional the program can access the online version of the Deep Sky Survey allowing online update of the asteroid and comet databases and it can search on-line in professional astronomical databases. ...
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    Downloads: 36 This Week
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  • 13
    MATLAB Deep Learning Model Hub

    MATLAB Deep Learning Model Hub

    Discover pretrained models for deep learning in MATLAB

    Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score.
    Downloads: 0 This Week
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  • 14
    Make-A-Video - Pytorch (wip)

    Make-A-Video - Pytorch (wip)

    Implementation of Make-A-Video, new SOTA text to video generator

    Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a new concept. It has been explored before in other contexts, say for protein contact prediction as "dimensional hybrid residual networks". The gist of the paper comes down to, take a SOTA text-to-image model (here they use DALL-E2, but the same learning...
    Downloads: 1 This Week
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  • 15
    Featuretools

    Featuretools

    An open source python library for automated feature engineering

    An open source Python framework for automated feature engineering. Featuretools automatically creates features from temporal and relational datasets. Featuretools uses DFS for automated feature engineering. You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems....
    Downloads: 0 This Week
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  • 16
    DeepChem

    DeepChem

    Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc

    DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. ...
    Downloads: 0 This Week
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  • 17

    AI_M_OS

    AI-powered OS based on Arch Linux with Glassmorphism UI

    AI_M_OS is a custom Arch Linux-based operating system with deep AI integration. Features GNOME 50 with Glassmorphism design, an AI scheduling kernel module, and a Python AI daemon for intelligent resource management.
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    Downloads: 10 This Week
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  • 18
    crème de la crème of AI courses

    crème de la crème of AI courses

    This repository is a curated collection of links to various courses

    ...The repository organizes courses by topic, difficulty level, format, and release year, allowing learners to quickly identify relevant material depending on their experience and interests. Topics covered include deep learning, natural language processing, computer vision, large language models, linear algebra, reinforcement learning, and machine learning engineering. Because the repository links to well-known educational content such as university lecture series and professional training materials, it functions as a structured roadmap for individuals who want to develop expertise in artificial intelligence.
    Downloads: 0 This Week
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  • 19
    Sky simulator for Ascom & Alpaca

    Sky simulator for Ascom & Alpaca

    Sky simulator for Ascom using an artificial sky or online DSS images.

    ...Star and a deep sky databases are included. For questions, problems, suggestion visit the forum. Ascom installation required. Install instructions for CCDCiel, APT and Nina : https://sky-simulator.sourceforge.io
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    Downloads: 29 This Week
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  • 20
    Universal Sentence Encoder

    Universal Sentence Encoder

    Encoder of greater-than-word length text trained on a variety of data

    The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a computationally efficient manner.
    Downloads: 3 This Week
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  • 21
    Dshell

    Dshell

    Dshell is a network forensic analysis framework

    An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). Enables development of external plugin packs, allowing the sharing and installation of new,...
    Downloads: 1 This Week
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  • 22
    Deep Learning Models

    Deep Learning Models

    A collection of various deep learning architectures, models, and tips

    This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling.
    Downloads: 0 This Week
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  • 23
    neuro-timer

    neuro-timer

    A productivity timer for Linux with focus protocols

    Neuro Timer is a GTK3 desktop application for Linux that helps you optimize your work sessions using proven productivity protocols. Features include deep work timers, NSDR (Non-Sleep Deep Rest) with ambient audio, and brown noise for focus.
    Downloads: 0 This Week
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  • 24
    Netdeep Secure Firewall

    Netdeep Secure Firewall

    Next Generation Open Source Firewall

    ...Is a Next Generation Open Source Firewall, which provides virtually all perimeter security features that your company may need. It offers Web content filters, ensuring better performance of the network, allowing users to use the service efficiently and securely, providing a deep control of the use of the Web access service, blocking access to unwanted websites, Virus, Spam, Applications and intrusion attempts. Its configuration is made entirely by the web interface.
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    Downloads: 36 This Week
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  • 25
    Zeta

    Zeta

    Build high-performance AI models with modular building blocks

    zeta is a deep learning library focused on providing cutting-edge AI and neural network models with a strong emphasis on research-grade architectures. It includes state-of-the-art implementations for rapid experimentation and model building.
    Downloads: 0 This Week
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