Showing 10 open source projects for "python code editor"

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  • Project Management Software Icon
    Project Management Software

    Understand how PI® can automate your processes

    Project Insight offers powerful tools for project managers and teams in order to deliver optimal performance and ensure success. An enterprise project and portfolio management software, Project Insight offers personalized dashboards, intelligent scheduling, resource management, collaboration, time and expense tracking, project and portfolio tracking, workflow, and reporting features to help teams work better and get real results. Project Insight is suitable for small teams, mid-market companies, and large enterprises.
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  • 1
    Genv

    Genv

    GPU environment management and cluster orchestration

    Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Faiss

    Faiss

    Library for efficient similarity search and clustering dense vectors

    Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. ...
    Downloads: 3 This Week
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  • 3
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model...
    Downloads: 0 This Week
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  • 4

    coNCePTuaL

    DSL for writing communication benchmarks

    coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language.
    Downloads: 0 This Week
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  • Stigg | SaaS Monetization and Entitlements API Icon
    Stigg | SaaS Monetization and Entitlements API

    For developers in need of a tool to launch pricing plans faster and build better buying experiences

    A monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
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  • 5

    asyncoro

    Python framework for asynchronous, concurrent, distributed programming

    asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll...
    Downloads: 0 This Week
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  • 6
    Condor GUI

    Condor GUI

    GUI for managing and working with one or more HTCondor pools.

    Condor GUI is a tool for managing and working with one or more HTCondor pools. It was developed at the Otto von Guericke University Magdeburg, Germany, to support the daily work using HTCondor. Version History: Version 0.9.3: - QDarkStyleSheet is an optional package now Version 0.9.2: - New layout of job file editor - Keyword arguments in job file editor - Linux compatibility
    Downloads: 1 This Week
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  • 7
    bocca is a text-based, scriptable, interactive development environment for SIDL/Babel-based development of mixed language C/C++/Fortran/Java/Python code. It manages source and build systems. Bocca automates creating SIDL/Babel code or CCA components.
    Downloads: 0 This Week
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  • 8
    ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
    Downloads: 34 This Week
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  • 9
    UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
    Downloads: 2 This Week
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  • Create a personalized AI chatbot for each team in minutes Icon
    Create a personalized AI chatbot for each team in minutes

    Get better, faster answers for your whole team with an AI chatbot trained on your company documents.

    QueryPal is the lifeline your team needs. Our AI chatbot integrates seamlessly with your communication channels, using advanced language understanding to identify and auto-answer repetitive questions — in seconds.
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  • 10
    General purpose client/server python execution code. This code allows a server to serve a list of python codes to clients for execution. The client then sends the result (literally the value of the variable converted to a string) back to the server.
    Downloads: 0 This Week
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