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  • 1
    IVY

    IVY

    The Unified Machine Learning Framework

    Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an...
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  • 2
    PML

    PML

    The easiest way to use deep metric learning in your application

    This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you...
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  • 3
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,...
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  • 4
    data-diff

    data-diff

    Efficiently diff rows across two different databases

    We're excited to announce the launch of a new open-source product, data-diff that makes comparing datasets across databases fast at any scale. data-diff automates data quality checks for data replication and migration. In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across...
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  • 5
    jsii

    jsii

    jsii allows code in any language to naturally interact with JavaScript

    jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase! A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed...
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  • 6
    AWS Toolkit for JetBrains

    AWS Toolkit for JetBrains

    A plugin for interacting with AWS from JetBrains IDEs

    The AWS Toolkit for JetBrains makes it easier to write applications built on Amazon Web Services. If you come across bugs with the toolkit or have feature requests, please raise an issue on our GitHub repository. See the user guide for how to get started, along with what features/services are supported. CodeWhisperer uses machine learning to generate code suggestions from the existing code and comments in your IDE. Supported languages include: Java, Python, and JavaScript. In addition to...
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  • 7
    YYeTsBot

    YYeTsBot

    Renren Film and Television bot, fully connected to Renren resources

    Renren Film and Television bot, fully connected to all Renren Film and television resources without deletion of resources. The database of this site is permanently open source and free. You can directly send the name of the episode you want to watch, and you can choose to share the webpage or link (ed2k and magnet links). When searching for resources, it will be searched according to my predetermined priority (everyone video offline, subtitle man), of course, you can also use commands to...
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  • 8
    Ansible Molecule

    Ansible Molecule

    Molecule aids in the development and testing of Ansible roles

    Molecule project is designed to aid in the development and testing of Ansible roles. Molecule provides support for testing with multiple instances, operating systems and distributions, virtualization providers, test frameworks and testing scenarios. Molecule encourages an approach that results in consistently developed roles that are well-written, easily understood and maintained. Molecule supports only the latest two major versions of Ansible (N/N-1), meaning that if the latest version is...
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  • 9
    FATE

    FATE

    An industrial grade federated learning framework

    FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms,...
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  • 10
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models...
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  • 11
    Cookiecutter Data Science

    Cookiecutter Data Science

    Project structure for doing and sharing data science work

    A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking...
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  • 12
    MicroK8s

    MicroK8s

    Single-package Kubernetes for developers, IoT and edge

    Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s...
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  • 13
    tsfresh

    tsfresh

    Automatic extraction of relevant features from time series

    tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python....
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  • 14
    thumbor

    thumbor

    An open-source photo thumbnail service by globo.com

    Open-source smart on-demand image cropping, resizing and filters. Thumbor is a smart imaging service. It enables on-demand crop, resizing and flipping of images. It features a very smart detection of important points in the image for better cropping and resizing, using state-of-the-art face and feature detection algorithms (more on that in Detection Algorithms). Save time and money in your company with Thumbor. With the most advanced face detection technology, Thumbor ensure you to have the...
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  • 15
    Spring Boot Admin

    Spring Boot Admin

    Admin UI for administration of spring boot applications

    This community project provides an admin interface for Spring Boot applications. The applications register with our Spring Boot Admin Client (via HTTP) or are discovered using Spring Cloud (e.g. Eureka, Consul). The UI is just a Vue.js application on top of the Spring Boot Actuator endpoints. Support for Python applications is available using Pyctuator. First, you need to setup your server. To do this just setup a simple boot project (using start.spring.io). As Spring Boot Admin Server is...
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  • 16
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it...
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  • 17
    AWS IoT Jobs library

    AWS IoT Jobs library

    Client library for using AWS IoT Jobs service on embedded devices

    The AWS IoT Jobs library helps you notify connected IoT devices of a pending Job. A Job can be used to manage your fleet of devices, update firmware and security certificates on your devices, or perform administrative tasks such as restarting devices and performing diagnostics. It interacts with the AWS IoT Jobs service using MQTT, a lightweight publish-subscribe protocol. This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The...
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  • 18
    AWS IoT Device Shadow library

    AWS IoT Device Shadow library

    Client library for using AWS IoT Shadow service on embedded devices

    The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its...
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  • 19
    cc65

    cc65

    cc65 - a freeware C compiler for 6502 based systems

    cc65 is a complete cross development package for 65(C)02 systems, including a powerful macro assembler, a C compiler, linker, librarian and several other tools.
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    Downloads: 302 This Week
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  • 20
    Salt

    Salt

    Automate the management and configuration of infrastructures at scale

    Salt Bootstrap is a shell script that detects the target platform and selects the best installation method. (Supported Platforms) Your Salt master can manage itself, so a Salt minion is installed along with the Salt master. Before implementing Salt to manage any data center infrastructure it is important to understand a few things about Salt platform support including: What platforms will the Salt Master run on? What systems and infrastructure can be managed by a Salt Minion? Salt runs on...
    Downloads: 1 This Week
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  • 21
    Papers We Love

    Papers We Love

    Papers from the computer science community to read and discuss

    Papers We Love (PWL) is a global open source community dedicated to reading, discussing, and sharing influential computer science research papers. The repository serves as a curated directory of academic papers that have shaped the field of computing, providing a centralized location for documents that were previously scattered across various online sources. While licensing restrictions prevent hosting all papers directly, PWL offers links to their original sources and clearly marks hosted...
    Downloads: 3 This Week
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  • 22
    iCn3D

    iCn3D

    Web-based protein structure viewer and analysis tool

    "I see in 3D" (iCn3D) Structure Viewer is not only a web-based 3D viewer, but also a structure analysis tool interactively or in the batch mode using NodeJS scripts based on the npm package icn3d. iCn3D synchronizes the display of 3D structure, 2D interaction, and 1D sequences and annotations. Users' custom displays can be saved in a short URL or a PNG image. The complete package of iCn3D including Three.js and jQuery is in the directory "dist" after you get the source code with the "Code"...
    Downloads: 5 This Week
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  • 23
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 5 This Week
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  • 24
    maXbox5

    maXbox5

    maXbox is a script tool engine, compiler and source lib all in one exe

    The Art of Coding: maXbox is a script tool engine, compiler and source lib all in one exe to design and code your scripts in a shellbook! It supports Pascal, Delphi (VCL), Python (P4D), PowerShell and Java Script (Edge WebView).
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    Downloads: 14 This Week
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  • 25
    Qwen3-Omni

    Qwen3-Omni

    Qwen3-omni is a natively end-to-end, omni-modal LLM

    Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and...
    Downloads: 1 This Week
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