Search Results for "pip" - Page 8
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Showing 228 open source projects for "pip"
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1
0x Monorepo
0x protocol monorepo - includes our smart contracts
...You will also need to have Python 3 installed, in order to build and run the tests of abi-gen's command-line interface, which is integrated with the yarn build, yarn test, and yarn lint commands described below. More specifically, your local pip should resolve to the Python 3 version of pip, not a Python 2.x version. -
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TubeCatcher
Its an application which can download youtube videos.
Its an application which can download youtube videos and videos of the given playlist. Also download videos from playlist given range number. It has been developed by using youtube_dl library. Linux : python >=3.6 and python3-pip. -
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cv2_plt_imshow
Using matplotlib_imshow for images read by cv2
...This package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks. ## Table of contents * [Setup](#setup) * [Dependencies](#dependencies) * [Contact](#contact) ## Setup ```pip install cv2_plt_imshow``` ## Dependencies * [matplotlib](https://pypi.org/project/matplotlib/) * [cv2](https://pypi.org/project/opencv-python/) ## Contact * [Author](https://rupesh.info/) * [Github](https://github.com/rs9899/cv2_plt_imshow) -
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plyvel-windows-wheel
Required dependency for running electrumx on windows
The pip installer fails on windows because there is no available wheel - It cannot find the required C/C++ libraries. So I have compiled the latest C++ leveldb from master (via visual studio 2017) as of 25th April 2020 and created this wheel with cython for distribution. This is an unofficial release - I am in no way affiliated with the creators of plyvel. -
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5
jieba
Stuttering Chinese word segmentation
...The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. To use paddle mode, you need to install paddlepaddle-tiny, pip install paddlepaddle-tiny==1.6.1. Currently paddle mode supports jieba v0.40 and above. For versions below jieba v0.40, please upgrade jieba, pip install jieba --upgrade. -
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Bangla TTS
Bangla text to speech synthesis in python
...Installation -------------------------------------- * Install Anaconda * conda create -n new_virtual_env python==3.6.8 * conda activate new_virtual_env * pip install -r requirements.txt * While running for the first time, keep your internet connection on to download the weights of the speech synthesis models (>500 MB) * For fast inference, you must install tensorflow-gpu and have a NVidia GPU. Project link: https://github.com/zabir-nabil/bangla-tts -
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unrpa
A program to extract files from the RPA archive format
unrpa is a tool to extract files from the RPA archive format (from the Ren'Py Visual Novel Engine). It can also be used as a library. The best way to install unrpa is through your package manager, if a package is available for your operating system. I maintain an AUR package for Arch Linux users. -
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termtosvg
Record terminal sessions as SVG animations
...Custom color themes, terminal UI, and animation controls via SVG templates. Compatible with asciinema recording format. termtosvg is compatible with Linux, macOS and BSD OSes, requires Python >= 3.5 and can be installed using pip. -
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gpt2-client
Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, etc.
...Finally, gpt2-client is a wrapper around the original gpt-2 repository that features the same functionality but with more accessiblity, comprehensibility, and utilty. You can play around with all four GPT-2 models in less than five lines of code. Install client via pip. The generation options are highly flexible. You can mix and match based on what kind of text you need generated, be it multiple chunks or one at a time with prompts. -
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GPT-2 FR
GPT-2 French demo | Démo française de GPT-2
...Books in French, French film scripts, reports of parliamentary debates, Tweet by Emmanuel Macron, allowing to generate text. Tensorflow and gpt-2-simple are required in order to fine-tune GPT-2. Create an environment then install the two packages pip install tensorflow==1.14 gpt-2-simple. A script and a notebook are available in the src folder to fine-tune GPT-2 on your own datasets. The output of each workout, i.e. the folder checkpoint/run1, is to be put ingpt2-model/model1 model2 model3 etc. You can run the script deploy_cloudrun.shto deploy all your different models (into gpt2-model) at once. ... -
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nonechucks
Deal with bad samples in your dataset dynamically
nonechucks is a library that provides wrappers for PyTorch's datasets, samplers and transforms to allow for dropping unwanted or invalid samples dynamically. What if you have a dataset of 1000s of images, out of which a few dozen images are unreadable because the image files are corrupted? Or what if your dataset is a folder full of scanned PDFs that you have to OCRize, and then run a language detector on the resulting text, because you want only the ones that are in English? Or maybe you... -
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pipupgrade
Like yarn outdated/upgrade, but for pip
pipupgrade is a command-line utility designed to streamline the management of Python package dependencies. It automates the process of identifying and upgrading outdated packages across various Python environments, including system-wide installations, virtual environments, and project-specific setups. By analyzing semantic versioning, pipupgrade categorizes updates into major, minor, and patch changes, allowing developers to make informed decisions about which packages to upgrade.... -
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ChainerCV
ChainerCV: a Library for Deep Learning in Computer Vision
ChainerCV is a collection of tools to train and run neural networks for computer vision tasks using Chainer. In ChainerCV, we define the object detection task as a problem of, given an image, bounding box-based localization and categorization of objects. Bounding boxes in an image are represented as a two-dimensional array of shape (R,4), where R is the number of bounding boxes and the second axis corresponds to the coordinates of bounding boxes. ChainerCV supports dataset loaders, which can... -
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NeuralCoref
Fast Coreference Resolution in spaCy with Neural Networks
NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolves coreference clusters using a neural network. NeuralCoref is production-ready, integrated in spaCy's NLP pipeline and extensible to new training datasets. For a brief introduction to coreference resolution and NeuralCoref, please refer to our blog post. NeuralCoref is written in Python/Cython and comes with a pre-trained statistical model for English only. NeuralCoref is accompanied by a visualization client... -
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PyTorch pretrained BigGAN
PyTorch implementation of BigGAN with pretrained weights
An op-for-op PyTorch reimplementation of DeepMind's BigGAN model with the pre-trained weights from DeepMind. This repository contains an op-for-op PyTorch reimplementation of DeepMind's BigGAN that was released with the paper Large Scale GAN Training for High Fidelity Natural Image Synthesis. This PyTorch implementation of BigGAN is provided with the pretrained 128x128, 256x256 and 512x512 models by DeepMind. We also provide the scripts used to download and convert these models from the... -
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Cloud Filer
S3 file management tool with encryption
...Cloud Filer includes pre-internet encryption and file name obfuscation making access to your cloud data useless without the right password. Download and install using pip install cloudfiler - see also https://pypi.org/project/cloudfiler/ -
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virtualgo
Virtualgo: Easy and powerful workspace based development
...Its approach is to build on top of these tools, such as dep, to provide the features features listed above. For people coming from Python, vg is very similar to virtualenv, with dep being respective to pip. The main difference is that vg is much easier to use than virtualenv, because there's almost no mental overhead in using vg. You can pin versions of executable dependencies, such as linting and code generation tools. You can easily use a dependency from your global GOPATH inside your workspace, without running into confusing import errors. ... -
18
BeakerX
Beaker Extensions for Jupyter Notebook
...Apache Spark integration including GUI configuration, status, progress, interrupt, and tables. One-click publication with interactive plots and tables, and Jupyter Lab. BeakerX is available via conda, pip, and docker. Or try it live online with Binder. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. -
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Jupyter Themes
Custom Jupyter Notebook Themes
jupyter-themes brings theme management to classic Jupyter Notebooks with a command-line tool that can restyle the interface, code cells, and UI chrome in seconds. It ships a catalog of popular dark and light themes and lets you customize fonts, font sizes, cell widths, and toolbar visibility so the notebook matches your preferred reading and coding ergonomics. The theming system adjusts CodeMirror syntax highlighting to keep code legible against chosen backgrounds and provides options to... -
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PIP
Useful crossplatform library for distributed systems
Platform-Independent Primitives. Contain string, thread, timer, file, config file, serial port, ethernet (UDP, TCP, broadcast, multicast), protocol, multiprotocol, peer, console, variable, struct, evaluator, system monitor (Linux only), CLI (command-line interface) parser. Package include library that you can build with 'qmake' or 'CMake' and test program in 'main.cpp'. Online documentation: http://ppip.sourceforge.net/doc/ -
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The Hershey Font Explorer
Review, Manage, and Export Vector-Based Fonts
... (2) A graphical (PNG) Format (3) A new, parser-firendly, one-line-per-glyph ASCII R Format (4) The Scalable Vector Graphics (SVG) Format for use with HTML5 Feel free to contact me via the blog at my web site if you would like to geek-out over new features, related projects (etc.) p.s. This project is written in Java. If you're into Python, you can `pip install PyHershey_9000` as well. Enjoy. Randall Nagy Soft9000.com -
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PipBlender
Pip installer in Blender+[Sverchok|Animation Nodes]+BlendBridge
A Blender addon to install Python packages using Pip and the BlendBridge library. The BlendBridge library is distributed as a perk in the TWINGSISTER's internal crowdfunding campaign. The PipBlender addon can be used either in Blender or in Blender+[Sverchok or Animation Nodes]. License: material contained here (brought to you by TWINGSISTER) is for TWINGSISTER personal use only. We use this as a cloud system and you can read and download things simply because there is more than one developer in TWINGSISTER projects and none of us knows how to make all this private. ... -
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pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing... -
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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... -
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Oyente
An Analysis Tool for Smart Contracts
A container with the required dependencies configured can be found here. The image is however outdated. We are working on pushing the latest image to dockerhub for your convenience. If you experience any issues with this image, please try to build a new docker image by pulling this codebase before open an issue. A collection of the utilities that were developed for the paper are in misc_utils. Use them at your own risk - they have mostly been disposable. This is an improved version of the...
