Search Results for "python libraries" - Page 37
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Showing 2938 open source projects for "python libraries"
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Google Research Football
Check out the new game server
Google Research Football is a reinforcement learning environment simulating soccer matches. It focuses on learning complex behaviors such as team collaboration and strategy formation in competitive settings. -
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A multi-player networked clone of the classical Bubble Bobble board game. Throw bubbles at monsters and collect dozens of different bonuses before your co-players! A modernized version running the clients in browsers is available at https://bitbucket.org/arigo/bub-n-bros/
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Raiden Network
Raiden Network
Use Raiden to enrich your dApp with nearly instant, low-fee and scalable payments. It comes with an easy-to-use API and is compatible with the Ethereum ERC20 token standard. Incentivized, decentralized P2P live streaming with micropayments using Raiden, introducing “Proof-of-Stream-Payment”. The Raiden Network is an infrastructure layer on top of the Ethereum Blockchain. While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless... -
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blind-watermark
Blind&Invisible Watermark, image blind watermark, extract watermark
Blind Watermark is a Python library for embedding hidden information inside images and recovering it without the original source image. It uses a DWT-DCT-SVD signal-processing pipeline to place watermarks with minimal visible change. Watermarks can contain text or raw bit arrays and may be protected with separate image and watermark passwords. The package provides both a Python API and command-line interface for embedding and extraction. Its examples evaluate recovery after rotation,... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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reslog reverse-resolves IPs in Apache log files. The result can then be analyzed by another program, like Analog. You can think of it as a replacement of the Apache HostNameLookups directive, in the sense that it resolves client IPs altogether once a d
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple... -
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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential... -
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XISMuS
X-Ray Imaging Software for Multiple Samples
ATTENTION: Cumulative update 2.5.0 has been released!! The update works for any previous 2.x.x version. If upgrading from version v1.x.x, please download and install v2.0.0 first. IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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Nimporter
Compile Nim Extensions for Python On Import
Nimporter allows the seamless import of Nim code into Python projects, enabling the use of Nim's performance and syntax within Python applications. -
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Arxiv Sanity Preserver
Web interface for browsing, search and filtering arxiv submissions
...Personalized recommendations are generated through models trained from user preferences. The web interface uses Flask, Tornado, and SQLite, while the indexing pipeline relies on scientific Python libraries. A newer rewrite called arxiv-sanity-lite later became the recommended successor. -
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Movie / Tv File Sorter
Effectively Sort Your Movies and Tv Shows Into Their Own Folders
Great For People Who Downloads Alot Of Movies / Tv Shows & Needs To Sort Them Into Their Own Folders. Requirements: - Python 3.8 or newer How To Run The Program: - Windows Users: Just Run The Mt Sorter.py File - Mac / Linux Users: Open Terminal & Navigate To Where The File Is Located & Type "python3 Mt\ Sorter.py" Without Quotes If you need to rename the file you can just make sure the extension stays ".py" -
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GUI File Encrypter
Just A Few Clicks To Encrypt Your File
Simple GUI File Encrypter 128-bit AES in CBC mode and PKCS7 padding, with HMAC using SHA256 for authentication. Requirements: - Python 3.9 - Dependencies are required to be installed, Read the README.txt file for instructions. How To Run The Program: - Windows: Just run GUI File Encrypter.py - Mac / Linux: Open Terminal, navigate to folder with the program files & type "python3 GUI\ File\ Encrypter.py" without the quotes If you need to rename the file you can just make... -
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pyModSlave
Modbus TCP/RTU Slave Software.
pyModSlave is a free, Python-based Modbus slave application for simulation purposes. It supports Modbus RTU and TCP, includes a built-in bus monitor for examining all traffic on the bus, and can be run as a Python module or as a standalone GUI (Windows only — unzip and run, no installation required). pyModSlave is based on modbus-tk, pySerial, and PyQt5. The repository has moved to GitHub: https://github.com/elbarbas/pyModSlave. SourceForge will continue to host updated binary releases,... -
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Customer Records
Basic GUI For Recording Your Clients Essential Data
Basic GUI for recording your clients essential data using SQL database. Rapidly pull up recorded data when required by utilizing the clients telephone number. Program uses an internal SQL system which can only be used locally. Update: - In the upcoming version (v2.0), remote SQL servers will be supported Requirements: - Python 3.9 How To Run: - Windows: Just Run Customer Records.py file - Mac / Linux. - Open Terminal & Navigate To The Program Files & Type "python3... -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
...Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. ... -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. ... -
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Trax
Deep learning with clear code and speed
Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. Run a pre-trained Transformer, create a translator in a few lines of code. Features and resources, API docs, where to talk to us, how to open an issue and more. Walkthrough, how Trax works, how to make new models and train on your own data. Trax includes basic models (like ResNet, LSTM, Transformer) and RL algorithms (like REINFORCE, A2C, PPO). It... -
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PersonGen
A minor Project in Python which uses the RandomUser API .
A Small Program in Python That Makes Use of RandomUser API To Generate Random Person Data. -
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go-nsq
The Go package for NSQ
...Operationally, NSQ is easy to configure and deploy (all parameters are specified on the command line and compiled binaries have no runtime dependencies). For maximum flexibility, it is agnostic to data format (messages can be JSON, MsgPack, Protocol Buffers, or anything else). Go and Python libraries are available out of the box (as well as many other client libraries), and if you're interested in building your own, there's a protocol spec. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage... -
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ECOLOG
A database management system for ecological field surveys
ECOLOG is a specimen-based, cross-platform relational database management system, aimed at the storage, retrieval and preliminary analysis of data on sites, species, and specimens gathered in ecological field surveys and biodiversity inventories. The main goal of ECOLOG is to make the data gathered in ecological field surveys readily accessible, providing lists of species collected in the study area and informations on habitat preferences, abundance or rarity of a given species, biometrics,... -
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Showtime
A Minor Project made in Python using OMDb API and Tkinter for Frontend
A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies. Github : https://github.com/Cyborg117/Showtime -
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YOLOR
implementation of paper - You Only Learn One Representation
YOLOR is the implementation of “You Only Learn One Representation,” a unified network approach for learning explicit and implicit knowledge together. The project focuses on object detection while exploring how a shared representation can support multiple tasks. It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts,...
