Table of Contents Table of Contents Ghostbuster The problem Project Features Ins
NB Workflows Description If SQL is a lingua franca for querying data, Jupyter sh
DIGAN (ICLR 2022) Official PyTorch implementation of "Generating Videos with Dyn
Event Sourced Bank A "wide but shallow" example of using the Python event sourci
CrowdStrike Falcon Event Stream to Humio This project intend to provide a simple
google-drive-to-sqlite Create a SQLite database containing metadata from Google
📣 Welcome to the Rootski codebase! This is the codebase for the application run
autolfads-tf2 A TensorFlow 2.0 implementation of LFADS and AutoLFADS. Installati
MicBot MicBot uses Google Translate to speak everyone's chat messages. It can al
frbmclust Getting Started Clusterize FRB profiles using hierarchical clustering,
Kalman Filter Exercise What are Kalman Filters? A Kalman Filter is a algorithmic
DLWP: Deep Learning Weather Prediction DLWP is a Python project containing data-
Broksy's GIF Captioner Have you ever wanted to easily caption a GIF without havi
Gridlock Encryption Encryption and decryption of plain text messages inspired by
Udacity's CS101: Intro to Computer Science - Building a Search Engine All soluti
Torchlight 2 Lan Game Server Tool A message forwarding tool for Torchlight 2 lan
prompts read a textfile of prompts and import into anki via ankiconnect Usage In
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr
✨ Alpha Zero Bot ✨ Telegram Group Manager Bot + Userbot Written In Python Using
Raphtory Client This is the python client for the Raphtory project Install via p
SkyScrapers Collection of variety of Web Scraping Apps The web-scrapers involved
Tools Автоматический установщик хакерских утилит (ТОЛЬКО ДЛЯ ТЕРМУКС!) Оригиналь
Ontario-Covid19-Screening An automated Covid-19 School Screening Tool for Ontari
Youtube-downloader-using-Python Hii guys !! Fancy to see here Welcome! built by
OpenMMLab website HOT OpenMMLab platform TRY IT OUT 📘 Documentation | 🛠️ Insta
DiffGAN-TTS - PyTorch Implementation PyTorch implementation of DiffGAN-TTS: High
Data Structures and Algorithms All the essential resources and template code nee
cve-2022-23131 cve-2022-23131 zabbix-saml-bypass-exp replace [zbx_signed_session
LeetComp Analysing compensations mentioned on the Leetcode forums (https://kuuts
Towards Return Parity in Markov Decision Processes Code for the AISTATS 2022 pap
End-to-end Music Remastering System This repository includes source code and pre
CamView A CLI-tool used to stream CCTV online footage based on URL params Get St
DumpSMBShare A script to dump files and folders remotely from a Windows SMB shar
Combined Radiology and Pathology Classification MICCAI 2020 Combined Radiology a
Relational Surrogate Loss Learning (ReLoss) Official implementation for paper "R
Simple master and stack layout script | ------ | ----- | | | | | Ma
SE3 Pose Interpolation Pose estimated from SLAM system are always discrete, and
nsdf Representing SDFs of arbitrary meshes has been a bit tricky so far. Express
This is a Telegram Bot written in Python for mirroring files on the Internet to
django-discord-bot Framework for creating Discord bots using Django Uses ASGI fo
English: README-EN.md VRCWatch VRCWatch は、VRChat 内のアバター向けに現在時刻を送信するためのプログラムです。 使
Programmer's Quest! Programmer's Quest! The open source Python 3 2D MMORPG showc
SpaceCrypto And Bombcrypto Bot - MultiScreen This is a open source project inspi
email_guesser Guessing BF email based on emailGuesser by WhiteHatInspector (http
Django - Shared App & Isolated Databases An app that demonstrates the implementa
pytest-rich Leverage rich for richer test session output. This plugin is not pub
SatelliteNeRF PyTorch-based Neural Radiance Fields adapted to satellite domain.
Dark Finix - Hacking Framework. Dark Finix is a all in one hacking framework wit
PyTorch Mobile provides a runtime environment to execute state-of-the-art machine learning models on mobile devices. Latency is reduced, privacy preserved, and models can run on mobile devices anytime, anywhere.
In this blog post, we provide a quick overview of 10 currently available PyTorch Mobile powered demo apps running various state-of-the-art PyTorch 1.9 machine learning models spanning images, video, audio and text.
It’s never been easier to deploy a state-of-the-art ML model to a phone. You don’t need any domain knowledge in Machine Learning and we hope one of the below examples resonates enough with you to be the starting point for your next project.
Python Quick & Easy
This notebook contains an excerpt from the Python Programming and Numerical Methods - A Guide for Engineers and Scientists, the content is also available at Berkeley Python Numerical Methods.
Image segmentation model trained from scratch on the Oxford Pets dataset.
This example shows how to do image classification from scratch, starting from JPEG image files on disk, without leveraging pre-trained weights or a pre-made Keras Application model. We demonstrate the workflow on the Kaggle Cats vs Dogs binary classification dataset.
We use the
image_dataset_from_directory utility to generate the datasets, and we use Keras image preprocessing layers for image standardization and data augmentation.
This example demonstrates how to implement a deep convolutional autoencoder for image denoising, mapping noisy digits images from the MNIST dataset to clean digits images. This implementation is based on an original blog post titled Building Autoencoders in Keras by François Chollet.
Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard library.
As of December 2020 Python ranked third in TIOBE’s index of most popular programming languages, behind
This example demonstrates two techniques for building memory-efficient recommendation models by reducing the size of the embedding tables, without sacrificing model effectiveness:
An exploration of threads, processes, and coroutines in Python, with interesting examples that illuminate the differences between each.
Notice: This map is not a precise reflection of the state of the AI field, but just my subjective representation.
This is my first map as of the end of 2020 and will be extended in the future. It contains more than 200 words or phrases, so to describe all of them would be too extensive and overkill. Much more interesting (and useful for me) to tell how this map was gradually building in my head. I will not explain everything, just the main things, so it is normal not to understand something.
Learn how to build a robust and developer-friendly Python microservices infrastructure using gRPC and Kubernetes. You’ll also explore advanced topics such as interceptors and integration testing.