June 28, 2021 Discord

Check and write all account info + Check nitro on account

Check and write all account info + Check nitro on account Also check https://github.com/GuFFy12/Discord-Token-Parser (Parse discord tokens from any file, even if there is other shit in the file with them.) I have a great desire to remake this shit code, but I’m too lazy😔 JS EDITION: https://github.com/amfero/DiscordTokenChecker (I will contribute here (Py is 🤢)) TS EDITION: https://github.com/cattyngmd/DiscordTokenChecker-ts PY EDITION: https://github.com/GuFFy12/Discord-Token-Checker Output data: Token.rat Nitro: {Nitro or Classic or No} Billing: {Valid or Invalid or No} Username: lol#1337 Language: ru […]

June 28, 2021 Authentication

An authentication bypass on polkit which allows unprivileged user to call privileged methods using DBus

Polkit-exploit – CVE-2021-3560 Privilege escalation with polkit – CVE-2021-3560 CVE-2021-3560 is an authentication bypass on polkit, which allows unprivileged user to call privileged methods using DBus, in this exploit we will call 2 privileged methods provided by accountsservice (CreateUser and SetPassword), which allows us to create a priviliged user then setting a password to it and at the end logging as the created user and then elevate to root. Ahmad Almorabea @almorabea http://almorabea.net [email protected]:~/Desktop$ python3 CVE-2021-3560.py ************** Exploit: Privilege escalation […]

June 28, 2021 Machine Learning

A Differentiable Loss Function for Time-Series in CUDA

Soft DTW Loss Function for PyTorch in CUDA This is a Pytorch Implementation of Soft-DTW: a Differentiable Loss Function for Time-Series which is batch supported computation, CUDA-friendly, and feasible to use as a final loss. I can confirm that you can train a (sequential) model with this as a final loss! The following image shows training logs of a TTS model using the Soft-DTW Loss Function. There are some previous implementations: mblondel’s soft-dtw lyprince’s sdtw_pytorch Maghoumi’s pytorch-softdtw-cuda But they are […]

June 28, 2021 Automation

A automatically script login to your account and joins the meeting

Auto Join Teams Meetings Requirements: Python 3.7 or higher Latest Google Chrome This script automatically logins to your account and joins the meeting you are invited in calendar meetings. Steps: git clone https://github.com/prajinkhadka/auto_join_teams.git Install python and pip pip install -r requirements.txt Edit Configuration file Example file Important params Email : email ( your college email ) Password : password Auto_leave_min : leave after certain minutes Leave_if_last: leave if you are last in the meeting Headless: if true ( GUI won’t […]

June 28, 2021 Emulation

An emulated LED scoreboard for Major League Baseball in python

mlb-led-scoreboard-emulated An LED scoreboard for Major League Baseball. Displays a live scoreboard for your team’s game on that day. Be sure to check out the original repo, mlb-led-scoreboard, if you’d like to run this on a Rasperry Pi LED panel! Currently supported boards: 32×32 64×32 64×64 128×32 128×64 If you’d like to see support for another set of board dimensions, file an issue! Screenshots Installation Requirements You need Git for cloning this repo and PIP for installing the scoreboard software. […]

June 28, 2021 RESTful API

Restful Api developed with Flask using Prometheus and Grafana for monitoring

Hephaestus Restful Api developed with Flask using Prometheus and Grafana for monitoring and containerization with Docker. In Greek mythology, Hephaestus was either the son of Zeus and Hera or he was Hera’s parthenogenous child. … As a smithing god, Hephaestus made all the weapons of the gods in Olympus. He served as the blacksmith of the gods, and was worshipped in the manufacturing and industrial centres of Greece, particularly Athens. Get Started :rocket: An Restful Api project developed with Flask. […]

June 28, 2021 Simulation

Massively parallel rigidbody physics simulation on accelerator hardware

BRAX Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators. It’s also a suite of learning algorithms to train agents to operate in these environments (PPO, SAC, evolutionary strategy, and direct trajectory optimization are implemented). Brax is written in JAX and is designed for use on acceleration hardware. It is both efficient for single-core training, and scalable to massively parallel simulation, without the need for pesky datacenters. Some policies trained via Brax. […]

June 28, 2021 Terminal

A FOSS alternative to Bloomberg Terminal

Gamestonk Terminal The next best thing after Bloomberg Terminal. How it started: Gamestonk Terminal is an awesome stock and crypto market terminal that has been developed for fun, while I saw my GME shares tanking. But hey, I like the stock 💎🙌. How it’s going: Gamestonk Terminal provides a modern Python-based integrated environment for investment research, that allows the average joe retail trader to leverage state-of-the-art Data Science and Machine Learning technologies. As a modern Python-based environment, GamestonkTerminal opens access […]

June 28, 2021 Deep Learning

A unified and flexible and comprehensive traffic prediction library

LibTraffic（阡陌） LibTraffic is a unified, flexible and comprehensive traffic prediction library, which provides researchers with a credibly experimental tool and a convenient development framework. Our library is implemented based on PyTorch, and includes all the necessary steps or components related to traffic prediction into a systematic pipeline. LibTraffic currently supports the following tasks: Traffic State Prediction Traffic Flow Prediction Traffic Speed Prediction On-Demand Service Prediction Trajectory Next-Location Prediction Features Unified: LibTraffic builds a systematic pipeline to implement, use and evaluate […]

June 28, 2021 Machine Learning

Objective of the repository is to learn and build machine learning models using Pytorch

30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch List of Algorithms Covered 📌 Day 1 – Linear Regression 📌 Day 2 – Logistic Regression 📌 Day 3 – Decision Tree 📌 Day 4 – KMeans Clustering 📌 Day 5 – Naive Bayes 📌 Day 6 – K Nearest Neighbour (KNN) 📌 Day 7 – Support Vector Machine 📌 Day 8 – Tf-Idf Model 📌 […]

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