Search Results for "claw-code" - Page 61
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Showing 2494 open source projects for "claw-code"
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1
RaspberryPi_LedSign
Python code drive PT6961 Led Sign AH41-01158A
This Simple project demonstrates how to send command and data to a PT6961 LED driver with a RaspberryPi by using Python. The Led Sign board (AH41-01158A) has been taken from an old Home Theater. A RaspberryPi model B has been used to communicate with. This code will ask the user to enter a sentence and will display this sentence 4 times. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. -
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QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
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Image classification models for Keras
Keras code and weights files for popular deep learning models
...Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet' argument in model constructor for all image models, weights='msd' for the music tagging model). Weights are automatically downloaded if necessary, and cached locally in ~/.keras/models/. This repository contains code for the following Keras models, VGG16, VGG19, ResNet50, Inception v3, and CRNN for music tagging. -
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multibootusb
Create multi boot live Linux on a USB disk...
Multi Boot USB / MultiBoot USB / MultiBootUSB is a software / installer which allows user to install multiple Live Linux Distros in to a single USB drive / Pendrive / Flash drive and able to boot from it. USB can be tested without reboot using inbuilt QEMU. -
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owfs and owhttpd
Project moved to https://github.com/owfs/owfs/
Please note that OWFS source code, and all Issue/Tickets/merge requests have now been moved to https://github.com/owfs/owfs/. Developer mailing lists will still be kept at Sourceforge. ---- OWFS -- 1-Wire file system. Use the Dallas 1-Wire and iButton chips with standard filesystem commands. Create temperature loggers. Monitor everything. OWHTTPD -- same system, only used as a light weight web server. -
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PyUltimateRobot
Controls any Robot in Python
Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is... -
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Pyrlang
Erlang node implemented in Python 3.5+ (Asyncio-based)
...It was designed to allow interoperation between existing Python projects and BEAM languages: Erlang, Elixir, Gleam, Luaerl, LFE, Clojerl, and such. With just a few lines of startup code your Python program becomes an Erlang network node, participating in the Erlang cluster. -
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ANGie
Alice Next Generation (internet entity)
An AIML based chat bot building on the original Alice AIML 1.0.1 set produced by Dr. Wallace and the ALICE AI Foundation and the PyAIML code base written by Cort Stratton, the ANGie project incorporates additional AIML sets, adds its own AIML to the set, adds new AIML tags and additional code to provide more dynamic responses and more logical case-based-reasoning. Reading through most AIML sets it seems like the authors' intention was to have a response to every input that a bot has ever seen. ... -
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PyGOAPng
Python Goal Oriented Action Planning (GOAP) library
A library for implementing GOAP in an AI agent. Based on pygoap v3 by Leif Theden et al. Updated code to work without having pygame installed, bug-fixed functions to make them implement the behaviors that were expected, and implemented desired behaviors so that the Pirate demo works properly for all known actions and goals. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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jd-autobuy
Python tool that automates JD.com login and product purchase tasks
...It uses web scraping and HTTP request techniques to log into an account, check product availability, and attempt to purchase specified items automatically. It supports login through methods such as QR code authentication, allowing users to sign in through the platform’s mobile application. Once authenticated, the script can retrieve product details including price, stock status, and item information. It can automatically add items to the shopping cart and prepare an order submission workflow for faster purchasing during high-demand sales or limited stock releases. ... -
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icemac.addressbook
Multi user address book application accessable through the web.
Multi user address book application accessable through the web. Store, edit, search and export addresses, phone numbers, … using a web browser. Code moved to https://bitbucket.org/icemac/icemac.addressbook Documentation see https://icemacaddressbook.readthedocs.io/en/latest/ New releases (after 6.0.2) see https://pypi.org/project/icemac.addressbook/#history -
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Construct2D
COmputational fluid dyNamics STRUctured grid CreaTor for 2D airfoils
...The grids are generated in Plot3D format. The only required input file is the set of coordinates defining the airfoil geometry, using the same format as XFoil, the popular vortex-panel code for airfoil analysis. Construct2D can create grids with O topology (recommended for airfoils with a blunt trailing edge) or C topology (recommended for airfoils with a sharp trailing edge). Now available in version 2.0: hyperbolic grid generation to create higher quality grids in a fraction of the time compared to elliptic grid generation. ... -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ... -
16
Inelastica
Transport code and tools based on SIESTA and TranSIESTA (DFT-NEGF)
...Pre- and post-processing tools for SIESTA (DFT, quantum chemistry) and TranSIESTA (quantum transport): (1) Calculate phonon frequencies, e-ph couplings, and inelastic contributions to the conductance (IETS). (2) Access Hamiltonian etc from Python. Some code documentation and installation instructions are available at this mediawiki page: http://dipc.ehu.es/frederiksen/inelastica/index.php. -
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
...The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. In addition to low-level kernels, it includes wrapper code for integrating with TensorFlow, example scripts (e.g. a transformer on the enwik8 dataset), transformer logic that uses blocksparse operations, and debugging helpers. -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and... -
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CoVim
Collaborative Editing for Vim
...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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trnsys-fmu
The FMI++ TRNSYS FMU Export Utility
...This documentation also contains a tutorial on how to export a TRNSYS model as FMU for co-simulation and how to link it with a simple controller implemented in Modelica. The tool is based on code from the FMI++ library. -
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pycodestyle
Simple Python style checker in one Python file
...Comes with a comprehensive test suite. There's also a package for Debian/Ubuntu, but it's not always the latest version. You can also make pycodestyle.py show the source code for each error, and even the relevant text from PEP 8. Or you can display how often each error was found. -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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Seq2Seq Chatbot
Chatbot in 200 lines of code using TensorLayer
Seq2Seq Chatbot is an implementation of a sequence-to-sequence chatbot model using TensorLayer, demonstrating how to build conversational agents with minimal code. -
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Pygorithm
A Python module for learning all major algorithms
A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument.
