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[2020/06/15] Demo with Google Colab (incl. visualization) is available! Please check out #pifuhd on Twitter for many results tested by users!
This repository contains a pytorch implementation of "Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization".
This codebase provides:
test code
visualization code
Demo on Google Colab
In case you don't have an environment with GPUs to run PIFuHD, we offer Google Colab demo. You can also upload your own images and reconstruct 3D geometry together with visualization. Try our Colab demo using the following notebook: \
The Infection Monkey is an open source security tool for testing a data center's resiliency to perimeter breaches and internal server infection. The Monkey uses various methods to self propagate across a data center and reports success to a centralized Monkey Island server.
The Infection Monkey is comprised of two parts:
Monkey - A tool which infects other machines and propagates to them.
Monkey Island - A dedicated server to control and visualize the Infection Monkey's progress inside the data center.
People tracker on the Internet: Learn to track the world, to avoid being traced.
Trape is an OSINT analysis and research tool, which allows people to track and execute intelligent social engineering attacks in real time. It was created with the aim of teaching the world how large Internet companies could obtain confidential information such as the status of sessions of their websites or services and control their users through their browser, without their knowlege, but It evolves with the aim of helping government organizations, companies and researchers to track the cybercriminals.
LOCATOR OPTIMIZATION: Trace the path between you and the target you're tracking. Each time you make a move, the path will be updated, the location of the target is obtained silently t...
Django is a high-level Python Web framework that encourages rapid development
and clean, pragmatic design. Thanks for checking it out.
All documentation is in the "docs" directory and online at https://docs.djangoproject.com/en/stable/. If you're just getting started,
here's how we recommend you read the docs:
First, read docs/intro/install.txt for instructions on installing Django.
Next, work through the tutorials in order (docs/intro/tutorial01.txt, docs/intro/tutorial02.txt, etc.).
If you want to set up an actual deployment server, read docs/howto/deployment/index.txt for instructions.
You'll probably want to read through the topical guides (in docs/topics)
next; from there you can jump to the HOWTOs (in docs/howto) for specific
problems, and check out the reference (docs/ref) for gory details.
See docs/README for instructions on building an HTML version of the docs.
Docs are updated rigorously. If you find any problems in the docs, or th...
This bot attends the online classes (or meetings) held on Microsoft teams, according to the given timetable.
Configure
There are few things you need to configure before running this bot.
Open Microsoft teams on your browser, login to your account, change the dashboard view to list view (from grid view), so that your classes are displayed in a list view.
Open bot.py, and put your microsoft teams credentials in the CREDS dictionary.
Example - CREDS = {'email' : 'myemail@email.com', 'passwd':'''mypassword'''}
Playwright is a Python library to automate Chromium, Firefox and WebKit browsers with a single API. Playwright delivers automation that is ever-green, capable, reliable and fast. See how Playwright is better.
Linux
macOS
Windows
Chromium 86.0.4238.0
✅
✅
✅
WebKit 14.0
✅
✅
✅
Firefox 80.0b8
✅
✅
✅
Headless execution is supported for all browsers on all platforms.
Recognize and manipulate faces from Python or from the command line with
the world's simplest face recognition library.
Built using dlib's state-of-the-art face recognition
built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
This also provides a simple face_recognition command line tool that lets
you do face recognition on a folder of images from the command line!
First digit visualization of in selected counties/cities in the 2020 presidential election.
Jupyter notebooks to analyze various precincts/wards for the 2020 election. Each notebook has either a source URL for the dataset or a link to the spreadsheet that was downloaded and parsed.
Benford's Law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leadin...
The most advanced version of DeOldify image colorization is available here, exclusively. Try a few images for free! MyHeritiage In Color
Image (artistic) |
Video
NEW Having trouble with the default image colorizer, aka "artistic"? Try the "stable" one below. It generally won't produce colors that are as interesting as "artistic", but the glitches are noticeably reduced.
These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.
The code in the notebooks and python .py files is covered by the GPL v3 license; see the LICENSE file for details.
The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change ...
Python随身听-2020-11-09-技术精选
🤩Python随身听-技术精选： /facebookresearch/pifuhd
👉High-Resolution 3D Human Digitization from A Single Image.
😎TOPICS: ``
⭐️STARS：4208, 今日上升数↑:810
👉README：
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020)
News:
This repository contains a pytorch implementation of "Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization".
This codebase provides:
Demo on Google Colab
In case you don't have an environment with GPUs to run PIFuHD, we offer Google Colab demo. You can also upload your own images and reconstruct 3D geometry together with visualization. Try our Colab demo using the following notebook: \
Requirements
For visualization
地址：https://github.com/facebookresearch/pifuhd
🤩Python随身听-技术精选： /guardicore/monkey
👉Infection Monkey - An automated pentest tool
😎TOPICS:
penetration-testing,security-tools,security-automation,infection-monkey⭐️STARS：4488, 今日上升数↑:870
👉README：
Infection Monkey
Data center Security Testing Tool
Welcome to the Infection Monkey!
The Infection Monkey is an open source security tool for testing a data center's resiliency to perimeter breaches and internal server infection. The Monkey uses various methods to self propagate across a data center and reports success to a centralized Monkey Island server.
The Infection Monkey is comprised of two parts:
To read more about the Monkey, visit infectionmonkey.com.
Screenshots
Map
Security report
Zero trust report
ATT&CK report
<img src=".github/attack-rep...
地址：https://github.com/guardicore/monkey
🤩Python随身听-技术精选： /geohot/tinygrad
👉You like pytorch? You like micrograd? You love tinygrad! ❤️
😎TOPICS: ``
⭐️STARS：661, 今日上升数↑:173
👉README：
For something in between a pytorch and a karpathy/micrograd
This may not be the best deep learning framework, but it is a deep learning framework.
The Tensor class is a wrapper around a numpy array, except it does Tensor things.
tinygrad is also a city in Russia.
Installation
pip3 install tinygrad --upgrade
Example
from tinygrad.tensor import Tensor
x = Tensor.eye(3)
y = Tensor([[2.0,0,-2.0]])
z = y.matmul(x).sum()
z.backward()
print(x.grad) # dz/dx
print(y.grad) # dz/dy
Same example in torch
import torch
x = torch.eye(3, requires_grad=True)
y = torch.tensor([[2.0,0,-2.0]], requires_grad=True)
z = y.matmul(x).sum()
z.backward()
print(x.grad) # dz/dx
print(y.grad) # dz/dy
Neural networks?
It turns out, a decent autograd tensor library is 90% of what you need for neural networks. Add a...
地址：https://github.com/geohot/tinygrad
🤩Python随身听-技术精选： /jofpin/trape
👉People tracker on the Internet: OSINT analysis and research tool by Jose Pino
😎TOPICS:
tracking,osint,footprint,hacking-tool,recognition,phising,social-engineering,security,python,hacking,flask,jose-pino⭐️STARS：5943, 今日上升数↑:487
👉README：
trape (stable) v2.0
People tracker on the Internet: Learn to track the world, to avoid being traced.
Trape is an OSINT analysis and research tool, which allows people to track and execute intelligent social engineering attacks in real time. It was created with the aim of teaching the world how large Internet companies could obtain confidential information such as the status of sessions of their websites or services and control their users through their browser, without their knowlege, but It evolves with the aim of helping government organizations, companies and researchers to track the cybercriminals.
At the beginning of the year 2018 was presented at BlackHat Arsenal in Singapore: https://www.blackhat.com/asia-18/arsenal.html#jose-pino and in multiple security events worldwide.
Some benefits
地址：https://github.com/jofpin/trape
🤩Python随身听-技术精选： /django/django
👉The Web framework for perfectionists with deadlines.
😎TOPICS:
python,django,web,framework,orm,templates,models,views,apps⭐️STARS：53405, 今日上升数↑:19
👉README：
Django
Django is a high-level Python Web framework that encourages rapid development
and clean, pragmatic design. Thanks for checking it out.
All documentation is in the "
docs" directory and online athttps://docs.djangoproject.com/en/stable/. If you're just getting started,
here's how we recommend you read the docs:
First, read
docs/intro/install.txtfor instructions on installing Django.Next, work through the tutorials in order (
docs/intro/tutorial01.txt,docs/intro/tutorial02.txt, etc.).If you want to set up an actual deployment server, read
docs/howto/deployment/index.txtfor instructions.You'll probably want to read through the topical guides (in
docs/topics)next; from there you can jump to the HOWTOs (in
docs/howto) for specificproblems, and check out the reference (
docs/ref) for gory details.See
docs/READMEfor instructions on building an HTML version of the docs.Docs are updated rigorously. If you find any problems in the docs, or th...
地址：https://github.com/django/django
🤩Python随身听-技术精选： /teja156/microsoft-teams-class-attender
👉A bot to attend classes on microsoft teams
😎TOPICS: ``
⭐️STARS：208, 今日上升数↑:19
👉README：
Microsoft Teams Online Class Attender
This bot attends the online classes (or meetings) held on Microsoft teams, according to the given timetable.
Configure
There are few things you need to configure before running this bot.
CREDS = {'email' : 'myemail@email.com', 'passwd':'''mypassword'''}地址：https://github.com/teja156/microsoft-teams-class-attender
🤩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：16757, 今日上升数↑:35
👉README：
Hunt down social media accounts by username across social networks
🤩Python随身听-技术精选： /tiangolo/fastapi
👉FastAPI framework, high performance, easy to learn, fast to code, ready for production
😎TOPICS:
python,json,swagger-ui,redoc,starlette,openapi,api,openapi3,framework,async,asyncio,uvicorn,python3,python-types,pydantic,json-schema,fastapi,swagger,rest,web⭐️STARS：22849, 今日上升数↑:27
👉README：
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Documentation: https://fastapi.tiangolo.com
Source Code: <a href="https://github.com/tiangolo/fastapi" target="_b...
地址：https://github.com/tiangolo/fastapi
🤩Python随身听-技术精选： /microsoft/playwright-python
👉Python version of the Playwright testing and automation library.
😎TOPICS:
playwright⭐️STARS：1401, 今日上升数↑:15
👉README：
Docs | Website | Python API reference
Playwright is a Python library to automate Chromium, Firefox and WebKit browsers with a single API. Playwright delivers automation that is ever-green, capable, reliable and fast. See how Playwright is better.
Headless execution is supported for all browsers on all platforms.
地址：https://github.com/microsoft/playwright-python
🤩Python随身听-技术精选： /ageitgey/face_recognition
👉The world's simplest facial recognition api for Python and the command line
😎TOPICS:
machine-learning,face-detection,face-recognition,python⭐️STARS：37027, 今日上升数↑:14
👉README：
Face Recognition
You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 or in Japanese 日本語.
Recognize and manipulate faces from Python or from the command line with
the world's simplest face recognition library.
Built using dlib's state-of-the-art face recognition
built with deep learning. The model has an accuracy of 99.38% on the
Labeled Faces in the Wild benchmark.
This also provides a simple
face_recognitioncommand line tool that letsyou do face recognition on a folder of images from the command line!
Features
Find faces in pictures
Find all the faces that appear in a picture:
import face_recognition
image = face_recognition.load_image_file("your_file...
地址：https://github.com/ageitgey/face_recognition
🤩Python随身听-技术精选： /deepfakes/faceswap
👉Deepfakes Software For All
😎TOPICS:
faceswap,face-swap,deep-learning,deeplearning,deep-neural-networks,deepfakes,deepface,deep-face-swap,fakeapp,neural-networks,neural-nets,openfaceswap,myfakeapp,machine-learning⭐️STARS：33102, 今日上升数↑:24
👉README：
deepfakes_faceswap
FaceSwap is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.
Jennifer Lawrence/Steve Buscemi FaceSwap using the Villain model
Make sure you check out INSTALL.md before getting started.
...
地址：https://github.com/deepfakes/faceswap
🤩Python随身听-技术精选： /jackfrued/Python-100-Days
👉Python - 100天从新手到大师
😎TOPICS: ``
⭐️STARS：95102, 今日上升数↑:42
👉README：
Python - 100天从新手到大师
Python应用领域和职业发展分析
简单的说，Python是一个“优雅”、“明确”、“简单”的编程语言。
Python在以下领域都有用武之地。
地址：https://github.com/jackfrued/Python-100-Days
🤩Python随身听-技术精选： /iperov/DeepFaceLab
👉DeepFaceLab is the leading software for creating deepfakes.
😎TOPICS:
faceswap,face-swap,deep-learning,deeplearning,deep-neural-networks,deepfakes,deepface,deep-face-swap,fakeapp,neural-networks,neural-nets,deepfacelab,creating-deepfakes,arxiv⭐️STARS：20986, 今日上升数↑:25
👉README：
DeepFaceLab
https://arxiv.org/abs/2005.05535
the leading software for creating deepfakes
More than 95% of deepfake videos are created with DeepFaceLab.
DeepFaceLab is used by such popular youtube channels as
|---|
|---|---|
|---|---|---|
|---|---|---|
What can I do using DeepFaceLab?
Replace the face
De-age the face
<img s...
地址：https://github.com/iperov/DeepFaceLab
🤩Python随身听-技术精选： /cjph8914/2020_benfords
👉None
😎TOPICS: ``
⭐️STARS：250, 今日上升数↑:233
👉README：
First digit visualization of in selected counties/cities in the 2020 presidential election.
Jupyter notebooks to analyze various precincts/wards for the 2020 election. Each notebook has either a source URL for the dataset or a link to the spreadsheet that was downloaded and parsed.
Benford's Law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leadin...
地址：https://github.com/cjph8914/2020_benfords
🤩Python随身听-技术精选： /jantic/DeOldify
👉A Deep Learning based project for colorizing and restoring old images (and video!)
😎TOPICS: ``
⭐️STARS：11936, 今日上升数↑:25
👉README：
DeOldify
Quick Start: The easiest way to colorize images using DeOldify (for free!) is here: DeOldify Image Colorization on DeepAI
The most advanced version of DeOldify image colorization is available here, exclusively. Try a few images for free! MyHeritiage In Color
Image (artistic)
|
Video
NEW Having trouble with the default image colorizer, aka "artistic"? Try the "stable" one below. It generally won't produce colors that are as interesting as "artistic", but the glitches are noticeably reduced.
Image (stable) [<img src="https://co...
地址：https://github.com/jantic/DeOldify
🤩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：12773, 今日上升数↑:14
👉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
🤩Python随身听-技术精选： /fastai/fastbook
👉The fastai book, published as Jupyter Notebooks
😎TOPICS:
notebooks,fastai,deep-learning,machine-learning,data-science,python,book⭐️STARS：10454, 今日上升数↑:18
👉README：
English / Spanish / Korean / Chinese /
Bengali
The fastai book
These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. Everything in this repo is copyright Jeremy Howard and Sylvain Gugger, 2020 onwards.
These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this draft.
The code in the notebooks and python
.pyfiles is covered by the GPL v3 license; see the LICENSE file for details.The remainder (including all markdown cells in the notebooks and other prose) is not licensed for any redistribution or change ...
地址：https://github.com/fastai/fastbook
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