Search Results for "dependencies" - Page 9
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Showing 318 open source projects for "dependencies"
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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... -
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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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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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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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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. ... -
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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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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. -
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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... -
15
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... -
18
Pytholog
A logic programming tool and a logical database with a RESTful API
.../Pytholog -h usage: Pytholog [-h] [-c CONSULT] -n NAME [-i] [-a] pytholog executable tool: prolog experience at command line and a logic knowledge base with no dependencies optional arguments: -h, --help show this help message and exit -c CONSULT, --consult CONSULT read an existing prolog file/knowledge base -n NAME, --name NAME knowledge base name -i, --interactive start an interactive prolog-like session -a, --api start a flask api -
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lzhw
LZHW Windows command line lossless compression tool for tabular files
LZHW Command Line Lossless Compression Tool is a Windows command line tool used to compress and decompress files from and to any form, csv, excel etc without any dependencies or installations. Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast. It is based on python lzhw library. Full tool documentation can be found at: https://mnoorfawi.github.io/lzhw/6%20Using%20the%20lzhw%20command%20line%20tool/ While the documentation for the python library is at: https://mnoorfawi.github.io/lzhw/ -
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TexSoup
Fault-tolerant Python3 package for searching LaTeX documents
Navigate, Search, and Modify LaTeX Documents in Python. Easy and reliable: No C extensions, no installation dependencies, and 100% test coverage. TexSoup is a fault-tolerant, Python3 package for searching, navigating, and modifying LaTeX documents. You can skip installation and try TexSoup directly, using the pytwiddle demo. -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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SageMaker Containers
Create SageMaker-compatible Docker containers
...You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. ... -
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DepHell
Python project management. Manage packages
...It can convert between various formats (Pipfile, poetry, setup.py, etc.), manage virtual environments, and ensure reproducible builds. It's a powerful tool for Python developers juggling complex dependencies. -
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SageMaker Chainer Containers
Docker container for running Chainer scripts to train and host Chainer
...The "base" Dockerfile encompasses the installation of the framework and all of the dependencies needed. All "final" Dockerfiles build images using base images that use the tagging scheme. -
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PixelCNN
Code for the paper "PixelCNN++: A PixelCNN Implementation..."
...It provides code for training and evaluating PixelCNN models on image datasets, focusing on conditional image modeling where pixels are generated sequentially based on the values of previously generated pixels. The repository demonstrates how to apply masked convolutions to enforce autoregressive dependencies and achieve tractable likelihood-based training. It also includes scripts for reproducing key experimental results from the paper, such as conditional sampling on datasets like CIFAR-10. The project serves as both a research reference and a practical framework for experimenting with autoregressive generative models. Although archived, PixelCNN has influenced a wide range of later work in generative modeling, including advancements in image transformers and diffusion models.
