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👉Malwoverview is a first response tool used for downloading and screening malware samples, suspicious URLs, IP address, domains. Malwoverview offers threat hunting information from Virus Total, Hybrid Analysis, URLHaus, Polyswarm, Malshare, Alien Vault, Malpedia, ThreatCrowd, Valhalla and it is able to scan Android devices against VT and HA.
D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.
👉Repository for the paper "Optimal Subarchitecture Extraction for BERT"
😎TOPICS: ``
⭐️STARS：159, 今日上升数↑:50
👉README：
Bort
Companion code for the paper "Optimal Subarchitecture Extraction for BERT."
Bort is an optimal subset of architectural parameters for the BERT architecture, extracted by applying a fully polynomial-time approximation scheme (FPTAS) for neural architecture search. Bort has an effective (that is, not counting the embedding layer) size of 5.5% the original BERT-large architecture, and 16% of the net size. It is also able to be pretrained in 288 GPU hours, which is 1.2% of the time required to pretrain the highest-performing BERT parametric architectural variant, RoBERTa-large.
It is also 7.9x faster on a CPU, and performs better than other compressed variants of the architecture, and some of the non-compressed variants; it obtains an average performance improvement of between 0.3% and 31%, absolute with respect to BERT-large on multiple public natural language understanding (NLU) benchmarks.
Here are the corresponding GLUE scores on the test set:
👉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;
All datasets in this repository are released under the CC BY 4.0 International
license, which can be found here: https://creativecommons.org/licenses/by/4.0/legalcode. All source files in this
repository are released under the Apache 2.0 license, the text of which can be
found in the LICENSE file.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations).
👉A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Note: If you are looking for the first edition notebooks, check out ageron/handson-ml.
Quick Start
Want to play with these notebooks online without having to install anything?
Use any of the following services.
WARNING: Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about.
Generates profile reports from a pandas DataFrame.
The pandas df.describe() function is great but a little basic for serious exploratory data analysis. pandas_profiling extends the pandas DataFrame with df.profile_report() for quick data analysis.
For each column the following statistics - if relevant for the column type - are presented in an interactive HTML report:
Type inference: detect the types of columns in a dataframe.
Essentials: type, unique values, missing values
Quantile statistics like minimum value, Q1, median, Q3, maximum, range, interquartile range
Descriptive statistics like mean, mode, standar...
Python随身听-2020-10-29-技术精选
🤩Python随身听-技术精选： /lrvick/youtube-dl
👉RIAA: Please go die in a fire.
😎TOPICS: ``
⭐️STARS：318, 今日上升数↑:196
👉README：
youtube-dl - download videos from youtube.com or other video platforms
INSTALLATION
To install it right away for all UNIX users (Linux, macOS, etc.), type:
If you do not have curl, you can alternatively use a recent wget:
Windows users can download an .exe file and place it in any location on their [PATH](...
地址：https://github.com/lrvick/youtube-dl
🤩Python随身听-技术精选： /sherlock-project/sherlock
👉🔎 Hunt down social media accounts by username across social networks
😎TOPICS:
osint,reconnaissance,linux,macos,cli,sherlock,python3,windows,redteam,tools,information-gathering⭐️STARS：16435, 今日上升数↑:278
👉README：
Hunt down social media accounts by username across social networks
🤩Python随身听-技术精选： /blackjack4494/yt-dlc
👉media downloader for various sites.
😎TOPICS:
downloader,media,library,streaming⭐️STARS：823, 今日上升数↑:167
👉README：
youtube-dlc - download videos from youtube.com or other video platforms.
youtube-dlc is a fork of youtube-dl with the intention of getting features tested by the community merged in the tool faster, since youtube-dl's development seems to be slowing down. (https://web.archive.org/web/20201014194602/https://github.com/ytdl-org/youtube-dl/issues/26462)
地址：https://github.com/blackjack4494/yt-dlc
🤩Python随身听-技术精选： /l1ving/youtube-dl
👉A copyright-respecting fork of youtube-dl
😎TOPICS: ``
⭐️STARS：1109, 今日上升数↑:184
👉README：
youtube-dl - download videos from youtube.com or other video platforms
CHANGES
You can view the changes made to ytdl-org/youtube-dl here
You can view the archived tags here: youtube-dl/releases
You can view the archived unmerged pull requests here: youtube-dl/tree/archive/recovered-github-prs
INSTALLATION
To install it right away for all UNIX users (Linux, macOS, etc.), typ...
地址：https://github.com/l1ving/youtube-dl
🤩Python随身听-技术精选： /EssayKillerBrain/EssayKiller_V2
👉基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
😎TOPICS: ``
⭐️STARS：1079, 今日上升数↑:118
👉README：
EssayKiller
通用型议论文创作人工智能框架，仅限交流与科普。
Bilibili视频地址：https://www.bilibili.com/video/BV1pr4y1w7uM/
项目简介
EssayKiller是基于OCR、NLP领域的最新模型所构建的生成式文本创作AI框架，目前第一版finetune模型针对高考作文（主要是议论文），可以有效生成符合人类认知的文章，多数文章经过测试可以达到正常高中生及格作文水平。
致谢
感谢开源作者@imcaspar 提供GPT-2中文预训练框架与数据支持。
感谢@白小鱼博士 、@YJango博士 、@画渣花小烙、@万物拣史 、@柴知道、@风羽酱-sdk、@WhatOnEarth、@这知识好冷、[@科技狐](https://space.bilibili.com/404334...
地址：https://github.com/EssayKillerBrain/EssayKiller_V2
🤩Python随身听-技术精选： /scastillo/not-youtube-dl
👉This is not youtube-dl
😎TOPICS: ``
⭐️STARS：704, 今日上升数↑:152
👉README：
this is not youtube-dl - it does not download videos from youtube.com or other video platforms
INSTALLATION
To install it right away for all UNIX users (Linux, macOS, etc.), type:
If you do not have curl, you can alternatively use a recent wget:
Windows users can download an .exe file and place it in any l...
地址：https://github.com/scastillo/not-youtube-dl
🤩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：88175, 今日上升数↑:101
👉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： /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：110264, 今日上升数↑:103
👉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： /youtube-dl2/youtube-dl
👉Repository with the code of youtube-dl
😎TOPICS:
youtube-dl,dmca-takedown⭐️STARS：377, 今日上升数↑:76
👉README：
youtube-dl - download videos from youtube.com or other video platforms
INSTALLATION
To install it right away for all UNIX users (Linux, macOS, etc.), type:
If you do not have curl, you can alternatively use a recent wget:
Windows users can download an .exe file and place it in any location on their [PATH](...
地址：https://github.com/youtube-dl2/youtube-dl
🤩Python随身听-技术精选： /corkami/mitra
👉A generator of binary polyglots
😎TOPICS: ``
⭐️STARS：331, 今日上升数↑:53
👉README：
Mitra
A tool to generate binary polyglots
(files that are valid with several file formats).
Loosely named after Μιθραδάτης,
a famous polyglot.
Pronounced
mɪtrə.What's new.
How to use
mitra.py file1.png file2.dcmgives you a working PNG/DICOM polyglot.Check Corkami mini
or tiny PoCs for input files.
and the formats repository for some extra technical info.
Features
It tries different layouts:
Stacks (appended data), Cavities (blank space), Parasites (comments), Zippers (mutual comments).
It returns the offsets where the payloads 'switch sizes' for multi-ciphertexts.
Ex:
Z(80-162-286)-DICOM^TIFF.be3b767b.dcm.tifis a DICOM/TIFF zipperwhere the payloads switch side at offsets
0x80,0x162and0x286.The
-soption extracts the 2 payloads separately, mixed with...地址：https://github.com/corkami/mitra
🤩Python随身听-技术精选： /alexandreborges/malwoverview
👉Malwoverview is a first response tool used for downloading and screening malware samples, suspicious URLs, IP address, domains. Malwoverview offers threat hunting information from Virus Total, Hybrid Analysis, URLHaus, Polyswarm, Malshare, Alien Vault, Malpedia, ThreatCrowd, Valhalla and it is able to scan Android devices against VT and HA.
😎TOPICS:
malware,virustotal,hybridanalysis,polyswarm,malpedia,urlhaus,alienvault,malshare,threatcrowd,valhalla,threathunting⭐️STARS：1107, 今日上升数↑:14
👉README：
Malwoverview
地址：https://github.com/alexandreborges/malwoverview
🤩Python随身听-技术精选： /man-group/dtale
👉Visualizer for pandas data structures
😎TOPICS:
python27,python3,react,flask,pandas,ipython,jupyter-notebook,react-virtualized,data-analysis,data-visualization,visualization,plotly-dash,data-science,xarray⭐️STARS：1567, 今日上升数↑:39
👉README：
What is it?
D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.
Origins
D-Tale was the product of a SAS to Pyth...
地址：https://github.com/man-group/dtale
🤩Python随身听-技术精选： /alexa/bort
👉Repository for the paper "Optimal Subarchitecture Extraction for BERT"
😎TOPICS: ``
⭐️STARS：159, 今日上升数↑:50
👉README：
Bort
Companion code for the paper "Optimal Subarchitecture Extraction for BERT."
Bort is an optimal subset of architectural parameters for the BERT architecture, extracted by applying a fully polynomial-time approximation scheme (FPTAS) for neural architecture search. Bort has an effective (that is, not counting the embedding layer) size of 5.5% the original BERT-large architecture, and 16% of the net size. It is also able to be pretrained in 288 GPU hours, which is 1.2% of the time required to pretrain the highest-performing BERT parametric architectural variant, RoBERTa-large.
It is also 7.9x faster on a CPU, and performs better than other compressed variants of the architecture, and some of the non-compressed variants; it obtains an average performance improvement of between 0.3% and 31%, absolute with respect to BERT-large on multiple public natural language understanding (NLU) benchmarks.
Here are the corresponding GLUE scores on the test set:
|Model|Score|CoLA|SST-2|MRPC|STS-B|QQP|MNLI...
地址：https://github.com/alexa/bort
🤩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：8397, 今日上升数↑:14
👉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： /google-research/google-research
👉Google Research
😎TOPICS:
machine-learning,ai,research⭐️STARS：13541, 今日上升数↑:204
👉README：
Google Research
This repository contains code released by
Google Research.
All datasets in this repository are released under the CC BY 4.0 International
license, which can be found here:
https://creativecommons.org/licenses/by/4.0/legalcode. All source files in this
repository are released under the Apache 2.0 license, the text of which can be
found in the LICENSE file.
Because the re...
地址：https://github.com/google-research/google-research
🤩Python随身听-技术精选： /zergtant/pytorch-handbook
👉pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
😎TOPICS:
pytorch,pytorch-tutorials,pytorch-handbook,deep-learning,neural-network,machine-learning⭐️STARS：12836, 今日上升数↑:13
👉README：
PyTorch 中文手册（pytorch handbook）
书籍介绍
这是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门。
由于本人水平有限，在写此教程的时候参考了一些网上的资料，在这里对他们表示敬意，我会在每个引用中附上原文地址，方便大家参考。
深度学习的技术在飞速的发展，同时PyTorch也在不断更新，且本人会逐步完善相关内容。
版本说明
由于PyTorch版本更迭，教程的版本会与PyTorch版本，保持一致。
当前版本 1.6
QQ 5群
群号：894059877
扫描二维码
点击链接加入群聊 『PyTorch Handbook 交流5群』
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说明
修改错别字请直接提issue或PR
PR时请注意版本
有问题也请直接提issue
感谢
目录
第一章：PyTorch 入门
地址：https://github.com/zergtant/pytorch-handbook
🤩Python随身听-技术精选： /slundberg/shap
👉A game theoretic approach to explain the output of any machine learning model.
😎TOPICS:
interpretability,machine-learning,deep-learning,gradient-boosting,shap,shapley,explainability⭐️STARS：10594, 今日上升数↑:12
👉README：
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations).
Install
Shap can be installed from either ...
地址：https://github.com/slundberg/shap
🤩Python随身听-技术精选： /ageron/handson-ml2
👉A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
😎TOPICS: ``
⭐️STARS：11050, 今日上升数↑:23
👉README：
Machine Learning Notebooks
This project aims at teaching you the fundamentals of Machine Learning in
python. It contains the example code and solutions to the exercises in the second edition of my O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow:
Note: If you are looking for the first edition notebooks, check out ageron/handson-ml.
Quick Start
Want to play with these notebooks online without having to install anything?
Use any of the following services.
WARNING: Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about.
地址：https://github.com/ageron/handson-ml2
🤩Python随身听-技术精选： /AtsushiSakai/PythonRobotics
👉Python sample codes for robotics algorithms.
😎TOPICS:
python,robotics,algorithm,path-planning,control,animation,localization,slam,cvxpy,ekf,autonomous-vehicles,autonomous-driving,mapping,autonomous-navigation,robot⭐️STARS：10525, 今日上升数↑:11
👉README：
PythonRobotics
Python codes for robotics algorithm.
Table of Contents
地址：https://github.com/AtsushiSakai/PythonRobotics
🤩Python随身听-技术精选： /pandas-profiling/pandas-profiling
👉Create HTML profiling reports from pandas DataFrame objects
😎TOPICS:
pandas-profiling,pandas-dataframe,statistics,jupyter-notebook,exploration,data-science,python,pandas,machine-learning,artificial-intelligence,deep-learning,exploratory-data-analysis,eda,data-quality,html-report,data-exploration,data-analysis,jupyter,big-data-analytics,data-profiling⭐️STARS：6166, 今日上升数↑:12
👉README：
Pandas Profiling
Documentation | Slack | Stack Overflow
Generates profile reports from a pandas
DataFrame.The pandas
df.describe()function is great but a little basic for serious exploratory data analysis.pandas_profilingextends the pandas DataFrame withdf.profile_report()for quick data analysis.For each column the following statistics - if relevant for the column type - are presented in an interactive HTML report:
地址：https://github.com/pandas-profiling/pandas-profiling
🤩Python随身听-技术精选： /NLP-LOVE/ML-NLP
👉此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
😎TOPICS:
nlp,machine-learning,deep-learning⭐️STARS：6777, 今日上升数↑:17
👉README：
项目介绍
目录
地址：https://github.com/NLP-LOVE/ML-NLP
🤩Python随身听-技术精选： /Pierian-Data/Complete-Python-3-Bootcamp
👉Course Files for Complete Python 3 Bootcamp Course on Udemy
😎TOPICS: ``
⭐️STARS：12636, 今日上升数↑:11
👉README：
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Get it now for ...
地址：https://github.com/Pierian-Data/Complete-Python-3-Bootcamp
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