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We present a new flow-based video completion algorithm. Previous flow completion methods are often unable to retain the sharpness of motion boundaries. Our method first extracts and completes motion edges, and then uses them to guide piecewise-smooth flow completion with sharp edges. Existing methods propagate colors among local flow connections between adjacent frames. However, not all missing regions in a video can be reached in this way because the motion boundaries form impenetrable barriers. Our method alleviates this problem by introducing non-local flow connections to temporally distant frames, enabling propagating video content over motion boundaries. We validate our approach on the DAVIS dataset. Both visual and quantitativ...
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
👉This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
This repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 7,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more.
👉An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter's API.
Twint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out sensitive information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.
Twint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow without any authentication, API, Selenium, or browser emulation.
tl;dr Benefits
Some of the benefits of using Twint vs Twitter API:
Can fetch almost all Tweets (Twitter API limits to last 3200 Tweets only);
Fast initial setup;
Can be used anonymously and without Twitter sign up;
👉A collection of solutions for Medium/Hard LeetCode problems. Educational resource
😎TOPICS: hacktoberfest,hacktoberfest2020
⭐️STARS：42, 今日上升数↑:21
👉README：
LeetCode_Algorithms (Medium/Hard)
A Collection of solutions for Medium/Hard leetcode problems in different languages : Python, C, C++, Java, Ruby, Go. (Feel free to add more). To ensure quality of pull requests instead of quantity , we've decided to consider only Medium and Hard problems from the Leetcode question factory. Also, we'll be checking all the PR's to ensure ...
Python随身听-2020-10-15-技术精选
🤩Python随身听-技术精选： /vt-vl-lab/FGVC
👉[ECCV 2020] Flow-edge Guided Video Completion
😎TOPICS: ``
⭐️STARS：557, 今日上升数↑:127
👉README：
[ECCV 2020] Flow-edge Guided Video Completion
[Paper] [Project Website] [Google Colab (coming soon)]
We present a new flow-based video completion algorithm. Previous flow completion methods are often unable to retain the sharpness of motion boundaries. Our method first extracts and completes motion edges, and then uses them to guide piecewise-smooth flow completion with sharp edges. Existing methods propagate colors among local flow connections between adjacent frames. However, not all missing regions in a video can be reached in this way because the motion boundaries form impenetrable barriers. Our method alleviates this problem by introducing non-local flow connections to temporally distant frames, enabling propagating video content over motion boundaries. We validate our approach on the DAVIS dataset. Both visual and quantitativ...
地址：https://github.com/vt-vl-lab/FGVC
🤩Python随身听-技术精选： /CorentinJ/Real-Time-Voice-Cloning
👉Clone a voice in 5 seconds to generate arbitrary speech in real-time
😎TOPICS:
deep-learning,pytorch,tensorflow,tts,voice-cloning,python⭐️STARS：20678, 今日上升数↑:259
👉README：
Real-Time Voice Cloning
This repository is an implementation of Transfer Learning from Speaker Verification to
Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. Feel free to check my thesis if you're curious or if you're looking for info I haven't documented. Mostly I would recommend giving a quick look to the figures beyond the introduction.
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.
Video demonstration (click the picture):
Papers implemented
地址：https://github.com/CorentinJ/Real-Time-Voice-Cloning
🤩Python随身听-技术精选： /PiotrMachowski/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor
👉This custom integration provides a way to present a live view of a map for a Xiaomi vacuum.
😎TOPICS:
home-assistant,custom-component,xiaomi,xiaomi-smart-home,vacuum,robot,roborock,cloud,map⭐️STARS：93, 今日上升数↑:20
👉README：
Xiaomi Cloud Map Extractor
This custom integration provides a way to present a live view of a map for a Xiaomi vacuum.
Configuration
platformxiaomi_cloud_map_extractorhost192.168.0.123tokenghjhca3ykg8o2zyyj7xb5adamhgsypelusernamexiaomi.account@gmail.compasswordaVerySecretPasswordcountry地址：https://github.com/PiotrMachowski/Home-Assistant-custom-components-Xiaomi-Cloud-Map-Extractor
🤩Python随身听-技术精选： /The-Art-of-Hacking/h4cker
👉This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
😎TOPICS:
hacking,penetration-testing,hacking-series,video-course,cybersecurity,ethical-hacking,ethicalhacking,hacker,exploit,exploits,exploit-development,vulnerability,vulnerability-scanners,vulnerability-assessment,vulnerability-management,vulnerability-identification,awesome-lists,awesome-list,training,hackers⭐️STARS：8110, 今日上升数↑:234
👉README：
Cyber Security Resources
This repository includes thousands of cybersecurity-related references and resources and it is maintained by Omar Santos. This GitHub repository has been created to provide supplemental material to several books, video courses, and live training created by Omar Santos and other co-authors. It provides over 7,000 references, scripts, tools, code, and other resources that help offensive and defensive security professionals learn and develop new skills. This GitHub repository provides guidance on how build your own hacking environment, learn about offensive security (ethical hacking) techniques, vulnerability research, exploit development, reverse engineering, malware analysis, threat intelligence, threat hunting, digital forensics and incident response (DFIR), includes examples of real-life penetration testing reports, and more.
The Art of Hacking Series
The [...
地址：https://github.com/The-Art-of-Hacking/h4cker
🤩Python随身听-技术精选： /horovod/horovod
👉Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
😎TOPICS:
tensorflow,uber,machine-learning,machinelearning,mpi,baidu,deep-learning,deeplearning,keras,pytorch,mxnet,spark⭐️STARS：10158, 今日上升数↑:38
👉README：
.. raw:: html
Horovod
.. raw:: html
.. image:: https://badge.fury.io/py/horovod.svg
:target: https://badge.fury.io/py/horovod
:alt: PyPI Version
.. image:: https://badge.buildkite.com/6f976bc161c69d9960fc00de01b69deb6199b25680a09e5e26.svg?branch=master
:target: https://buildkite.com/horovod/horovod
:alt: Build Status
.. image:: https://readthedocs.org/projects/horovod/badge/?version=latest
:target: https://horovod.readthedocs.io/en/latest/
:alt: Documentation Status
.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
:target: https://img.shields.io/badge/License-Apache%202.0-blue.svg
:alt: License
.. image:: https://app.fossa.com/api/projects/git%2Bgithub.com%2Fhorovod%2Fhorovod.svg?type=shield
:target: https://app.fossa.com/projects/git%2Bgithub.com%2Fhorovod%2F...
地址：https://github.com/horovod/horovod
🤩Python随身听-技术精选： /twintproject/twint
👉An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
😎TOPICS:
osint,twitter,python,scrape,tweets,elasticsearch,kibana,scrape-followers,scrape-likes,scrape-following,twint,tweep⭐️STARS：8186, 今日上升数↑:115
👉README：
TWINT - Twitter Intelligence Tool
Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter's API.
Twint utilizes Twitter's search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out sensitive information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.
Twint also makes special queries to Twitter allowing you to also scrape a Twitter user's followers, Tweets a user has liked, and who they follow without any authentication, API, Selenium, or browser emulation.
tl;dr Benefits
Some of the benefits of using Twint vs Twitter API:
Limits imposed by Twi...
地址：https://github.com/twintproject/twint
🤩Python随身听-技术精选： /donnemartin/system-design-primer
👉Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
😎TOPICS:
programming,development,design,design-system,system,design-patterns,web,web-application,webapp,python,interview,interview-questions,interview-practice⭐️STARS：109286, 今日上升数↑:115
👉README：
*English ∙ 日本語 ∙ 简体中文 ∙ 繁體中文 | العَرَبِيَّة ∙ বাংলা ∙ Português do Brasil ∙ Deutsch ∙ ελληνικά ∙ עברית ∙ Italiano ∙ 한국어 ∙ فارسی ∙ Polski ∙ русский язык ∙ Español ∙ [...
地址：https://github.com/donnemartin/system-design-primer
🤩Python随身听-技术精选： /micodeyt/ascii-webcam
👉None
😎TOPICS: ``
⭐️STARS：242, 今日上升数↑:43
👉README：
ascii-webcam
Affiche la webcam en ASCII art dans votre terminal.
Utilisé dans la vidéo : https://youtu.be...
地址：https://github.com/micodeyt/ascii-webcam
🤩Python随身听-技术精选： /psf/black
👉The uncompromising Python code formatter
😎TOPICS:
python,code,formatter,codeformatter,pyfmt,gofmt,yapf,autopep8⭐️STARS：18174, 今日上升数↑:17
👉README：
The Uncompromising Code Formatter
🤩Python随身听-技术精选： /devanshbatham/Awesome-Bugbounty-Writeups
👉A curated list of bugbounty writeups (Bug type wise) , inspired from https://github.com/ngalongc/bug-bounty-reference
😎TOPICS:
bugbounty,bugbountytips,bughunting,bugbounty-writeups,security-writeups,bugbounty-blogs,bugbounty-yahoo,bugbounty-facebook,bughunting-methodology,bughunting-writeups⭐️STARS：1078, 今日上升数↑:30
👉README：
Contents
地址：https://github.com/devanshbatham/Awesome-Bugbounty-Writeups
🤩Python随身听-技术精选： /noisefilter19/LeetCode_Algorithms
👉A collection of solutions for Medium/Hard LeetCode problems. Educational resource
😎TOPICS:
hacktoberfest,hacktoberfest2020⭐️STARS：42, 今日上升数↑:21
👉README：
LeetCode_Algorithms (Medium/Hard)
A Collection of solutions for Medium/Hard leetcode problems in different languages : Python, C, C++, Java, Ruby, Go. (Feel free to add more). To ensure quality of pull requests instead of quantity , we've decided to consider only Medium and Hard problems from the Leetcode question factory. Also, we'll be checking all the PR's to ensure ...
地址：https://github.com/noisefilter19/LeetCode_Algorithms
🤩Python随身听-技术精选： /TurboWay/big_screen
👉数据大屏可视化
😎TOPICS: ``
⭐️STARS：643, 今日上升数↑:28
👉README：
big_screen
数据大屏可视化
功能
便利性工具, 结构简单, 直接传数据就可以实现数据大屏
安装
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple flask
运行
python app.py;
地址：https://github.com/TurboWay/big_screen
🤩Python随身听-技术精选： /aristocratos/bpytop
👉Linux/OSX/FreeBSD resource monitor
😎TOPICS: ``
⭐️STARS：2875, 今日上升数↑:13
👉README：
Index
Documents
CHANGELOG.md
CONTRIBUTING.md
CODE_OF_CONDUCT.md
Description
Resource monitor that shows usage and stats for processor, memory, disks, network and processes.
Python port of bashtop.
Features...
地址：https://github.com/aristocratos/bpytop
🤩Python随身听-技术精选： /dexplo/bar_chart_race
👉Create animated bar chart races in Python with matplotlib
😎TOPICS: ``
⭐️STARS：360, 今日上升数↑:14
👉README：
Bar Chart Race
Make animated bar and line chart races in Python with matplotlib or plotly.
Official Documentation
Visit the bar_chart_race official documentation for detailed usage instructions.
Installation
Install with either:
pip install bar_chart_raceconda install -c conda-forge bar_chart_raceQuickstart
Must begin with a pandas DataFrame containing 'wide' data where:
The data below is an example of properly formatted data. It shows total deaths from COVID-19 for several countries by date.
Create bar and line chart races
There are three core functions available to construct the animations.
bar_chart_racebar_chart_race_plotlyline_chart_raceThe above animation was created with the help of matplotlib using the following call to
bar_chart_race.import b...
地址：https://github.com/dexplo/bar_chart_race
🤩Python随身听-技术精选： /vinta/awesome-python
👉A curated list of awesome Python frameworks, libraries, software and resources
😎TOPICS:
awesome,python,collections,python-library,python-framework,python-resources⭐️STARS：87584, 今日上升数↑:47
👉README：
A curated list of awesome Python frameworks, libraries, software and resources.
Inspired by awesome-php.
...
地址：https://github.com/vinta/awesome-python
🤩Python随身听-技术精选： /PyTorchLightning/pytorch-lightning
👉The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
😎TOPICS:
python,deep-learning,artificial-intelligence,ai,pytorch,data-science,machine-learning⭐️STARS：8845, 今日上升数↑:25
👉README：
The lightweight PyTorch wrapper for high-performance AI research.
Scale your models, not the boilerplate.
Website • Key Features • How To Use • Docs • Examples • Community • Grid AI • Licence
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