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The most complete cheats collection for the PS4 and PS5 with interactive cheats index
Software only hypervisor exploit for the Xbox 360 Dashboard
Software only hypervisor exploit for Xbox 360
drakmor / ShadowMountPlus
Forked from RDX-Sci01/ShadowMount1.3GBTAutomated background auto-mounter payload for jailbroken PS5 consoles. Detects, mounts, and installs game backups from internal or external storage, with support for UFS, exFAT, PFS, and nested com…
Create and Manage Unsigned PFS (Playstation File System) image files with file compression and checksum support.
Angelpro09xd / BadStorage
Forked from EatonZ/BadStorageBad Storage is a project for unlocking up to 2 TB internal storage for those using the Xbox 360 Bad Update exploit.
Everything you need to hack an Xbox 360, ready to be copied onto a USB drive in one download!
Custom Xbox 360 app designed to be used with the Xbox360BadUpdate exploit. Applies a set of HV/Kernel patches & loads the Dashlaunch system module (launch.xex).
Open source application to track your internet download and upload speeds with an elegant web interface.
The most cited deep learning papers
A course in the fundamental skills for data science. Primarily python coding, web scraping and data wrangling along with some special topics in LaTeX, research ethics and research questions.
The world's simplest facial recognition api for Python and the command line
Build a thin client deep learning camera with the Raspberry Pi, Flask, and YOLO
Models and examples built with TensorFlow
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Style transfer, deep learning, feature transform
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
To check whether runs of numbers can be organised into sequences where every consecutive pair of numbers adds to a square. And plot the results!
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"