Search Results for "keep%20alive" - Page 6
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Showing 259 open source projects for "keep%20alive"
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
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tootbot.py
A small python 3.x script to replicate tweets on a mastodon account
...Forked from https://github.com/cquest/tootbot Specialized in RSS feed, in particular from Nitter (https://nitter.net - https://github.com/zedeus/nitter) It gets the tweets from RSS available at https://nitter.net, then does some cleanup on the content: twitter tracking links (t.co) are dereferenced twitter hosted pictures are retrieved and uploaded to mastodon the tweets from RSS source's are joined based on the domain name to avoid duplicates It can also toot RSS/atom feeds (see cron-example.sh). A sqlite database is used to keep track of tweets than have been tooted. The script is simply called by a cron job and can run on any server. -
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Tensor2Tensor
Library of deep learning models and datasets
...Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now deprecated, we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. -
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Alfred-Workflow
Full-featured library for writing Alfred 3 & 4 workflows
...Alfred-Workflow takes care of a lot of the details for you, allowing you to concentrate your efforts on your workflow’s functionality. Alfred-Workflow supports macOS 10.7+ (Python 2.7). Easily launch background tasks (daemons) to keep your workflow responsive. Check for and install new workflow versions using GitHub releases. Post notifications with Notification Center (10.8+ only) Error handling and logging for easier development and support. “Magic” arguments to help development, debugging and management of the workflow. -
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5
Zappa
Serverless Python
Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests... -
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Bangla TTS
Bangla text to speech synthesis in python
...Installation -------------------------------------- * Install Anaconda * conda create -n new_virtual_env python==3.6.8 * conda activate new_virtual_env * pip install -r requirements.txt * While running for the first time, keep your internet connection on to download the weights of the speech synthesis models (>500 MB) * For fast inference, you must install tensorflow-gpu and have a NVidia GPU. Project link: https://github.com/zabir-nabil/bangla-tts -
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Flask-GraphQL
Adds GraphQL support to your Flask application
Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is... -
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gitfs
Version controlled file system
...A user can mount any repository and all their changes will be automatically converted into commits. gitfs will also expose the history of the branch you're currently working on by simulating snapshots of every commit. gitfs is useful in places where you want to keep track of all your files, but at the same time you don't have the possibility of organizing everything into commits yourself. A FUSE filesystem for git repositories, with local cache. We provide packages for the major Ubuntu releases and MacOS. -
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Scikit-learn Tutorial
An introductory tutorial for scikit-learn
...It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. Although the GitHub repository has been archived and is read-only, it is still a valuable snapshot of early, hands-on teaching material for scikit-learn and machine learning in Python. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
...Its training loop is built for throughput: asynchronous I/O, memory-mapped tensors, and lock-free updates keep GPUs and CPUs fed even at extreme scale. The toolkit includes evaluation metrics and export tools so learned embeddings can be used in downstream nearest-neighbor search, recommendation, or analytics. In practice, PBG’s design lets practitioners train high-quality graph embeddings. -
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MatchZoo
Facilitating the design, comparison and sharing of deep text models
...With the unified data processing pipeline, simplified model configuration and automatic hyper-parameters tunning features equipped, MatchZoo is flexible and easy to use. Preprocess your input data in three lines of code, keep track parameters to be passed into the model. Make use of MatchZoo customized loss functions and evaluation metrics. Initialize the model, fine-tune the hyper-parameters. Generate pair-wise training data on-the-fly, evaluate model performance using customized callbacks on validation data. MatchZoo is dependent on Keras and Tensorflow. -
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Nebula worker
The worker node manager container which manages nebula nodes
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices,... -
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Python Poloniex
Poloniex API wrapper for Python 2.7 & 3
Poloniex API wrapper for Python 2.7 & 3. -
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ShadowSocksShare
Python ShadowSocks framework
...Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code. -
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django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
...Since it simplifies things DDS is not usable for all kinds of scrapers, but it is well suited for the relatively common case of regularly scraping a website with a list of updated items (e.g. news, events, etc.) and then dig into the detail page to scrape some more infos for each item. Django Dynamic Scraper tries to keep its data structure in the database as separated as possible from the models in your app, so it comes with its own Django model classes for defining scrapers, runtime information related to your scraper runs and classes. -
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pangu.py
Paranoid text spacing in Python
...It works both as a Python library and a command-line utility, so you can process strings in code, tidy files in bulk, or wire it into documentation and build pipelines. The transformation is idempotent: running it multiple times won’t keep adding spaces, which makes it safe in automated workflows. It’s designed to be pragmatic and lightweight, with sensible defaults that handle common edge cases found in websites, blogs, and multilingual technical docs. Because it targets clarity over heavy linguistic analysis, it’s easy to adopt and delivers immediate, visible improvements to mixed CJK/Latin text. -
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Xine Playlist Editor
Helper program to edit playlist for the XINE video player.
...First Release v0.6: Python-2 and Gtk-2 (beta) Second Release v0.7: Python-3 and Gtk-3 jan. 2013. Third Release v08: jan 2015 featuring: English, German, Dutch, Spanish and Thai internationalization, code improvements and to keep it working with latest gtk3. -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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Jupyter Themes
Custom Jupyter Notebook Themes
...It ships a catalog of popular dark and light themes and lets you customize fonts, font sizes, cell widths, and toolbar visibility so the notebook matches your preferred reading and coding ergonomics. The theming system adjusts CodeMirror syntax highlighting to keep code legible against chosen backgrounds and provides options to harmonize matplotlib/plotly colors for cohesive visuals. Installation and usage are streamlined through a single jt command, with flags to set or preview themes and a built-in restore option to return to defaults. Because it modifies the Notebook’s CSS, the project focuses on lightweight overrides rather than invasive changes, minimizing breakage across notebook versions. ... -
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PyTom
http://www.sciencedirect.com/science/article/pii/S1047847711003492
PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions. -
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pyhanlp
Chinese participle
...The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch. -
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coinwatch
Coinmarketcap console client to keep track of your crypto trades
A cryptocurrency price monitoring tool providing real-time updates and alerts. -
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Kalibro for Calibration & Maintenance
Calibration Control and Maintenance Management
Kalibro is an open source free software to manage devices and tools for calibration and maintenance records. It helps you to keep inventory and reminds you the scheduled dates. Kalibro also helps you to satisfy the requirements of the Quality Management Standards like ISO9001, AS9100 and TS16949. Manufacturing, Quality and IT departments of small/medium sized companies are targeted to use Kalibro. You do not need to use spread sheet files to save your critical calibration records. ... -
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CoVim
Collaborative Editing for Vim
...Participants can see each other’s cursors and changes as they type, approximating pair programming inside a modal editor. Sessions are hosted on a server process that coordinates edits and user presence across machines. The goal is to keep collaboration simple while preserving familiar Vim motions and commands. It is particularly handy for remote code walkthroughs, mentoring, or quick review sessions without switching to a different editor. While not as full-featured as cloud IDEs, it provides a lightweight way to co-edit in pure Vim. -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
...So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish.
