Search Results for "path-movement" - Page 7
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Showing 272 open source projects for "path-movement"
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1
Deep Daze
Simple command line tool for text to image generation
...Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and optionally the number of initial training steps. We can also feed in an image as an optimization goal, instead of only priming the generator network. Deepdaze will then render its own interpretation of that image. The regular mode for texts only allows 77 tokens. If you want to visualize a full story/paragraph/song/poem, set create_story to True. -
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EB CLI Installer
Simplified EB CLI installation mechanism
This repository hosts scripts to generate self-contained installations of the EB CLI. On Linux and macOS, the output contains instructions to add the EB CLI (and Python) executable file to the shell's $PATH variable, if it isn't already in it. The ebcli_installer.py Python script will install the awsebcli package in a virtual environment to prevent potential conflicts with other Python packages. Even within a virtualenv, a developer might need to install multiple packages whose dependencies are in conflict. For example, at times the AWS CLI and the EB CLI have used conflicting versions of botocore. ... -
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TRACER
Extreme Attention Guided Salient Object Tracing Network
Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch. Now, fast inference mode offers a salient object result with the mask. You can get the more clear salient object by tuning the threshold. We will release initializing TRACER with a version of pre-trained TE-x. -
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ... -
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5
TensorNetwork
A library for easy and efficient manipulation of tensor networks
...Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. Because it supports backends such as NumPy, TensorFlow, PyTorch, and JAX, the same model can run on CPUs, GPUs, or TPUs with minimal code changes. Tutorials and visualization helpers make it easier to understand how network topology affects expressive power and computational cost. -
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BlooketHack
One of the First Blooket hacks online
First you must download python 3.7. On install you do need to check the "Add to path" option when you can do so. Second you must download the code here on GitHub. Third you need to extract the files from the .zip file you downloaded. Finally, just double click the main.py file. Original code by: kgsensei. Works on most game modes, Gold Quest (Tested - Working) Tower Defense (Tested - Working) Café (Tested - Working) Factory (Tested - Working) Racing (Tested - Working) Classic (Tested - Working) and Crypto (Tested - Working). -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
...This makes the repo suitable for students, hobbyists, or developers who want to deeply understand how ML algorithms work under the hood and experiment with parameter tuning or custom data. Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory. -
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CVE-2021-31166
Remote HTTP.sys use-after-free triggered remotely
...UlpParseContentCoding where the function has a local LIST_ENTRY and appends an item to it. When it's done, it moves it into the Request structure; but it doesn't NULL out the local list. The issue with that is that an attacker can trigger a code-path that frees every entry of the local list leaving them dangling in the Request object. -
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footmouse
Allows Linux users to use a HID compatible USB foot pedal as a mouse
The foot pedal emulates a mouse in conjunction with up to 4 modifier keys, ALT, CONTROL, SHIFT and ESCAPE. Functions available are Left Click, Double Click, Right Click, Cursor Up, Cursor Down, Cursor Left, Cursor Right, Wheel Scroll Up, Wheel Scroll Down, Middle Click, Page Up, Page Down, Window Select, Close window, Minimise window and Null (define an option that does nothing) - Many foot pedals come with software, often MS Windows only, which allows you to program the pedals to... -
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10
Multi-Agent path planning in Python
Python implementation of a bunch of multi-robot path-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI. -
11
BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
12
Minecraft
Simple Minecraft-inspired program using Python and Pyglet
...The project implements a first-person block world where you can walk around, jump, fly, and place or remove blocks using a small set of block types like brick, grass, and sand. It provides full WASD movement with mouse look and basic building controls, giving a surprisingly complete “sandbox” feel in only a small amount of Python code. The author explicitly describes a vision for the project as an educational tool: because many kids love Minecraft and Python is a friendly first programming language, the codebase is meant to be readable, hackable, and heavily commented so learners can tweak parameters like gravity or walking speed and see the effects immediately. ... -
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Soma-direct
System Omnichannel Marketing Analysis
Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the... -
14
Xwintrack
Track key and mouse input to X windows
A Linux python3 Xwindow tracking tool. Keytracker, mousetracker, movement tracker Allows tracking of keys, mouse buttons and mouse position in a selected X window or globally. It performs no logging of its own, it tracks and reports what is occurring, allowing the programmer to do want they will with the information. Key tracking / logging Mouse tracking / logging Hot keys Hot mouse buttons / keys Many xdotool function replacement commands -
15
Bulk LUTs Previewer 2.8.4
Generate a preview gallery for your LUTs.
Quickly generate a gallery to preview your (Look Up Tables) luts on selected still frame, or video. 1) Import a still image. (jpg, jpeg, png, bmp) *) (Or select video. (mpg, mpeg, mp4, mov, mts, avi, webm, mkv)) 2) Choose path to your lutsfolder. (cube, 3dl, dat, m3d) 3) Generate. (If video selected, use scroll wheel to preview luts) All preview images that is generated is stored in '.\OUT' folder, and then deleted upon restart of the application. > [Changelog] - Version 2.8.4 Fixed: Zoom ratio & dual-screen positioning. luts with same name not being generated. ... -
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PythonToolkit (PTK) is an interactive environment for python. It was designed to provide a python based environment similiar to Matlab for scientists and engineers however it can also be used as a general purpose interactive python environment.
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surpriver
Find big moving stocks before they move using machine learning
surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. These anomalies are interpreted as signals that a stock... -
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interactive-coding-challenges
120+ interactive Python coding interview challenges
...Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
19
mssqlproxy
Toolkit aimed to perform lateral movement in restricted environments
mssqlproxy is a toolkit aimed to perform lateral movement in restricted environments through a compromised Microsoft SQL Server via socket reuse. The client requires impacket and sysadmin privileges on the SQL server. The first step is to execute code in the SQL Server process context. As extended stored procedures are going to be deprecated in future versions of MSSQL, we pay attention to Microsoft recommendations and thus, use CLR assemblies instead. -
20
stage0
A set of minimal dependency bootstrap binaries
This is a set of manually created hex programs in a Cthulhu Path to madness fashion. Which only have the goal of creating a bootstrapping path to a C compiler capable of compiling GCC, with only the explicit requirement of a single 1 KByte binary or less. Additionally, all code must be able to be understood by 70% of the population of programmers. If the code can not be understood by that volume, it needs to be altered until it satisfies the above requirement. -
21
jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
22
Graph Nets library
Build Graph Nets in Tensorflow
...This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions. -
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InfiFly 3D
InfiFly a ML based 3D game.
This is the 3D game. There is space ship and your aim is to control the ship using hand movement(left to right, & right to left) and prevent the ship from hitting the asteroids and. Every level has different environment for create optical illusion. -
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. The repository is designed for learners who want to connect deep learning concepts with executable examples. ... -
25
yapyutils
Utilities for platform indepentent low-level system APIs.
...The more complex and complete data packages are provided for higher application layer functionality. The current release contains: * *yapyutils.modules* A utility to locate and load modules by a given name and/or file system path name, based on the *sys.path* variable. * *yapyutils.files* Search and location of files, e.g. modules and configuration files. * *yapyutils.help* Simple help for command line interfaces. * *yapyutils.config* Configuration file support, in particular for the initial setup of software packages.
