Search Results for "dependencies" - Page 10
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Showing 352 open source projects for "dependencies"
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1
PySC2
StarCraft II learning environment
...PySC2 provides an interface for RL agents to interact with StarCraft 2, getting observations and sending actions. The easiest way to get PySC2 is to use pip. That will install the pysc2 package along with all the required dependencies. virtualenv can help manage your dependencies. You may also need to upgrade pip: pip install --upgrade pip for the pysc2 install to work. If you're running on an older system you may need to install libsdl libraries for the pygame dependency. -
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min(DALL·E)
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
This is a fast, minimal port of Boris Dayma's DALL·E Mini (with mega weights). It has been stripped down for inference and converted to PyTorch. The only third-party dependencies are numpy, requests, pillow and torch. The required models will be downloaded to models_root if they are not already there. Set the dtype to torch.float16 to save GPU memory. If you have an Ampere architecture GPU you can use torch.bfloat16. Set the device to either cuda or "cpu". Once everything has finished initializing, call generate_image with some text as many times as you want. ... -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase in their native Python libraries. Currently, m2cgen works only with float64 (double) data type. You can try to cast your input data to another type manually and check results again. Also, some small differences can happen due to specific implementation of floating-point arithmetic in a target language. -
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
...After several major updates, layoutparser provides various functionalities and deep learning models from different backends. But it still easy to install layoutparser, and we designed the installation method in a way such that you can choose to install only the needed dependencies for your project. LayoutParser is also a open platform that enables the sharing of layout detection models and DIA pipelines among the community. -
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5
Manticore
Symbolic execution tool
...As an open-source tool, we hope that others can take advantage of these capabilities in their own projects. We prioritized simplicity and usability while building Manticore. We used minimal external dependencies and our API should look familiar to anyone with exploitation or reversing background. If you have never used such a tool before, give Manticore a try. Manticore comes with an easy-to-use command line tool that quickly generates new program “test cases” (or sample inputs) with symbolic execution. Each test case results in a unique outcome when running the program, like a normal process exit or crash (e.g., invalid program counter, invalid memory read/write). -
6
pyphoon
ASCII Art Phase of the Moon (Python version)
...The tool supports showing past or future phases, so you can visualize how the Moon will look on specific dates without opening a browser or an app. It’s intentionally minimal: no GUI, no heavy dependencies, just a quick way to check illumination, age, and phase names in text form. Because it runs cross-platform and works over SSH, it’s popular among terminal enthusiasts and sysadmins who live in the command line. The output can be scripted into cron jobs, motd banners, dashboards, or shared in chat to add a bit of astronomical flair to daily workflows. -
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EB CLI Installer
Simplified EB CLI installation mechanism
...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. One such instance was particularly egregious. When there are conflicts, users have to manage separate virtualenvs for each of the conflicting packages, or find a combination of the packages without conflicts. -
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Tile Pattern Exporter
Tile large format PNG patterns into print-at-home PDF pages
You can tile large format PNG patterns into print-at-home PDF pages. Created for LearnMYOG. This set of scripts automates the tiling of large format PNG files into letter(A4), tabloid(A3), and A0 sized PDF pages with print margins, alignment and cut guides, page numbers, and a copyright stamp to each page. For best results, input an exported PNG with size in multiples of 7.5 inches wide and 10 inches tall @ 300dpi. -
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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... -
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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10
DroneSploit
Drone pentesting framework console
...The framework gathers drone-specific assessment techniques and security modules in one console. Individual modules activate only when their required external tools and dependencies are available. Its architecture is built on the SploitKit framework and can be extended with additional modules. The project has been presented as a drone penetration-testing research platform at security conferences. Because its capabilities can affect real devices and networks, it is appropriate only for systems covered by explicit testing authorization. -
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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 sure the extension stays ".py" -
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pytube
A lightweight, dependency-free Python library
Pytube is a lightweight, dependency-free Python library that enables downloading YouTube videos and audio streams with minimal setup. It supports video resolution selection, progressive or adaptive streams, and caption downloads. Pytube is ideal for automation scripts, archiving tools, and media applications that need to interface with YouTube content programmatically. -
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Aquila DB
An easy to use Neural Search Engine
...Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build Neural Information Retrieval applications out of the box with minimal dependencies. -
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cryptos
Pure Python from-scratch zero-dependency implementation of Bitcoin
Cryptos is a pure Python implementation of major Bitcoin concepts built from scratch for educational purposes. It deliberately avoids external dependencies so readers can inspect how the underlying cryptography and protocol mechanics work. The project implements SHA-256, finite-field elliptic-curve mathematics, Bitcoin key generation, addresses, and ECDSA digital signatures. It can parse and inspect legacy and SegWit transaction structures, although its transaction validation is intentionally incomplete compared with a full Bitcoin node. ... -
15
TimeSformer
The official pytorch implementation of our paper
...The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch provides configurations, pretrained models, and training scripts that make it straightforward to evaluate or fine-tune on video datasets. TimeSformer was influential in showing that pure transformer architectures—without convolutional backbones—can perform strongly on video classification tasks. ... -
16
I Heart LA
Compilable markdown for linear algebra
I Heart LA is a compilable markdown for math. It can generate working code in your favorite language (C++, Python, MATLAB, more to come) and LaTeX from snippets. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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Keepsake
Version control for machine learning
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook. -
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video-to-ascii
It is a simple python package to play videos in the terminal
...The tool adapts video resolution to match terminal dimensions, ensuring a coherent and readable output despite limited character space. It can optionally include audio playback when additional dependencies such as FFmpeg and PortAudio are installed. The project supports multiple rendering strategies and allows exporting ASCII output to files for sharing or reuse. It also includes color approximation using ANSI palettes to enhance visual fidelity within terminal limitations. Designed as both a creative and technical project, it demonstrates how video data can be transformed into text-based representations. -
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Flask-MongoEngine
MongoEngine flask extension with WTF model forms support
...This will extend project dependencies with Flask-WTF, WTFForms and related packages. -
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arxiv-collector
Little Python script to collect LaTeX sources for upload to the arXiv
...Install with pip install arxiv-collector or conda install -c conda-forge arxiv-collector, or just download arxiv_collector.py, it's a stand-alone script with no dependencies. Works with any reasonable version of Python 3, or 2.7 if you really must. -
22
googler
Google Search, Google Site Search, Google News from the terminal
googler is a power tool to Google (Web & News) and Google Site Search from the command-line. It shows the title, URL and abstract for each result, which can be directly opened in a browser from the terminal. Results are fetched in pages (with page navigation). Supports sequential searches in a single googler instance. googler was initially written to cater to headless servers without X. You can integrate it with a text-based browser. However, it has grown into a very handy and flexible... -
23
3DDFA
Fast, accurate and stable 3D dense face alignment
...This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. See requirements.txt, tested on macOS and Linux platforms. The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. -
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Howdy For Linux
Windows Hello style facial authentication for Linux
Howdy provides Windows Hello™ style authentication for Linux. Use your built-in IR emitters and camera in combination with facial recognition to prove who you are. Using the central authentication system (PAM), works everywhere you would otherwise need your password: Login, lock screen, sudo, su, etc. -
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AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for...
