Search Results for "assembly source code" - Page 58
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Showing 2494 open source projects for "assembly source code"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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pythonids
Enumeration of Python implementations and releases
The ‘pythonids‘ package provides the enumeration of Python syntaxes and the categorization of Python implementations. This enables the development of fast and easy portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The current supported syntaxes are Python2.7+ and Python3 for the Python implementations: CPython IPython (based on CPython) IronPython Jython PyPy -
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Coursebook
Introductory Systems Programming Textbook for University of Illinois
Welcome to the systems programming coursebook! This repository houses a high-quality, open-source introductory systems programming textbook used by the CS 341: System Programming course at the University of Illinois at Urbana-Champaign The book assumes that you have taken a programming language course and are familiar with assembly instructions. All of the code and instruction will be in C, as it is the de-facto language of the Linux Kernel. -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,... -
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term... -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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hug
Embrace the APIs of the future. For developing APIs
hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API... -
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Azure Machine Learning Python SDK
Python notebooks with ML and deep learning examples
Azure Machine Learning Python SDK is a curated repository of Python-based Jupyter notebooks that demonstrate how to develop, train, evaluate, and deploy machine learning and deep learning models using the Azure Machine Learning Python SDK. The content spans a wide range of real-world tasks — from foundational quickstarts that teach users how to configure an Azure ML workspace and connect to compute resources, to advanced tutorials on using pipelines, automated machine learning, and dataset... -
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Nebula docs
Documentation repo of nebula orchestration system
...Ever wandered how your going to push an update to that smart fridge your company is working on as it's thousands of devices around the globe? wish you could have the assurance that your service will always use the latest code\envvars\etc in all of it's edge locations? want the ability to stop\start a globally distributed service with a single command? Nebula was designed from the ground up to answer all of this needs. -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that... -
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Nebula reporter
The optional reporter container which reads nebula reports from Kafka
Nebula is an 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 effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. -
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gscrabble
لعبة كلمات متقاطعة جميلة
crossword puzzle game is funny and useful. -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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CSV-Sanitizer
Allows the user to automatically create non-sensitive, sanitized CSVs
This project will allow the user to create non-sensitive, sanitized CSVs automatically, given any CSVs present. Its purpose? Create an easy way for people to share tasks or code that rely on sensitive CSVs, without exposing sensitive data. This project is conducted in Python3. Please see the Readme for more information :) -
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
How can we develop artificial intelligence that learns to make sense of complex environments? That learns from others, including humans, how to interact with the world? That learns transferable skills throughout its existence, and applies them to solve new, challenging problems? Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform... -
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Drauger OS
Ubuntu-based Linux Gaming OS
Drauger OS is an Ubuntu-based Linux desktop gaming distribution that ships with many modifications and optimizations over stock Ubuntu that are intended to improve gaming performance and the gaming experience. From simple changes such as swapping Gnome out for the light-weight Xfce Desktop Environment and using a dark GTK theme by default, to more complex changes such as using a kernel compiled in-house and replacing PulseAudio with Pipewire. Drauger OS is built from the ground up with our... -
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Embed Prolog directly in your Python, C# or Javascript program using the yield keyword. There is no API standing between your code and Yield Prolog, so you can use all language features, including arrays, file I/O, user interaction and your own classes.
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners... -
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captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification... -
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EasyUpload
Uploading files from Android to a desktop PC.
...Just select the images from the Android device, establish a connection to the server using its IPv4 address and port number, and then upload the images in a fast way. The source code of both the client and server apps are available in this GitHub page: https://github.com/ahmedfgad/AndroidFlask The project is documented in a Heartbeat tutorial titled available here: https://heartbeat.fritz.ai/uploading-images-from-android-to-a-python-based-flask-server-691e4092a95e Logo image from flaticon.com by phatplus (https://www.flaticon.com/authors/phatplus) -
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Pikon-Stelarium interface
Pikon-Stelarium interface to use with azimuthal mount
This is a full project to make an software-drived azimuthal mount for the Pikon telescope, it can be use for others telescope. This project include : . Some other parts to print to adapt to the Pikon . Python code for raspberry Needed parts for "as it" use : . 1 Raspberry (model A suit well) . 3 motors steppers . 3 steppers drivers . 1 BNO055 (the one from adafruit was used) . 1 Pikon driver . 1 GPS module Sofware requirement : . raspbian . python 3 . some python libraries -
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Platformer 2D Godot Game
Test project with a 2D platform game developing in Godot 3.1
Test project with a 2D platform game developing in Godot 3.1, reusable mechanics for: State Machine, basics AI, Android Games. -
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EasyUpload
EasyUpload Server Accepts Images from Android to be Uploaded to a PC
...Download the server project from here: http://easyupload.sourceforge.net The simplicity of using EasyUpload helps to avoid using Bluetooth for image transfer. The project just works for images and later it can work with any type of files. The source code of both the client and server apps are available in this GitHub page: https://github.com/ahmedfgad/AndroidFlask The project is documented in a Heartbeat tutorial titled "Uploading images from Android to a Python-based Flask server" available here: https://heartbeat.fritz.ai/uploading-images-from-android-to-a-python-based-flask-server-691e4092a95e Logo image from flaticon.com by phatplus (https://www.flaticon.com/authors/phatplus) -
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BLESS
An SSH Certificate Authority that runs as an AWS Lambda function
BLESS is an SSH Certificate Authority that runs as an AWS Lambda function and is used to sign SSH public keys. SSH Certificates are an excellent way to authorize users to access a particular SSH host, as they can be restricted for a single-use case, and can be short-lived. Instead of managing the authorized_keys of a host, or controlling who has access to SSH Private Keys, hosts just need to be configured to trust an SSH CA. BLESS should be run as an AWS Lambda in an isolated AWS account.... -
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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.
