Deep Learning, NLP, NMT, AI, ML
convert whatsApp exported chat into a readable pdf format. convert without media chat Installation Use the package manager pip to install packages. $ git clone https://github.com/nishantssoni/Wats2PDF.git $ pip install -r requirements.txt Usage First place your whatsApp exported chat into your_exported_txt folder Screenshots Contributing Contributions are always welcome! hit me on Twitter GitHub View Github
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A script to dump files and folders remotely from a Windows SMB share.
Read morePBN Obfuscator is a overpowered obfuscator for python, which will help you protect your source code. If you are running the file directly without any custom sys.argv arguments then you can input your code. And if there are custom sys.argv arguments then it will go like this: python3 obfuscator.py . However if you aren’t running the file directly then you can just call the obfuscate() function. print(“Made by poggersbutnot.”) def llnt(*eyjx): wgommt = [] for teyij in eyjx: wgommt.append(getattr(__import__(“x62x75x69x6cx74x69x6ex73”), “x63x68x72”)(teyij)) […]
Read moreAdvance market place website written in django 🙂 Online fashion store for wholesalers and retailers. 🗒 Note: This project does not have a shopping cart and wholesalers can register their order through WhatsApp. ⭐️ PicoStyle features Market place Advance admin panel Multilanguage Multilayer filtering Advance category system Session-based favorite list (wish list) Newsletter News system ⚙️ Config the project First you should make venv for this project.So in the main root of project you should type this command in your […]
Read moreSentinel-2 Super-Resolution Segmentation Network Installation Basic To help out with development, start by cloning this repo-url Then I recommend using mambato install both non-python binaries and python libraries.A virtual environment will also be created with Python andJupyterLab installed. cd s2s2net mamba env create –file environment.yml Activate the virtual environment first. Finally, double-check that the libraries have been installed. Advanced This is for those who want full reproducibility of the virtual environment. Making an explicit conda-lock file(only needed if creating a […]
Read moreSAP memory pipes desynchronization vulnerability(MPI) CVE-2022-22536. Description POC for CVE-2022-22536: SAP memory pipes(MPI) desynchronization vulnerability. create by antx at 2022-02-15. Detail SAP NetWeaver Application Server ABAP, SAP NetWeaver Application Server Java, ABAP Platform, SAP Content Server 7.53 and SAP Web Dispatcher are vulnerable for request smuggling and request concatenation. An unauthenticated attacker can prepend a victim’s request with arbitrary data. This way, the attacker can execute functions impersonating the victim or poison intermediary Web caches. A successful attack could result […]
Read moreThis is a PyTorch Implementation code for developing super fast adversarial training. This code is combined with below state-of-the-art technologies for accelerating adversarial attacks and defenses with Deep Neural Networks on Volta GPU architecture. Distributed Data Parallel [link] Channel Last Memory Format [link] Mixed Precision Training [link] Mixed Precision + Adversarial Attack (based on torchattacks [link]) Faster Adversarial Training for Large Dataset [link] Fast
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This is a simple implementation of Hamiltonian Monte Carlo in JAX that is vectorized and supports pytree parameters (i.e. tree-like structures). Here’s a minimal example to sample from a distribution: import jax import jax.numpy as jnp from hmc import hmc_sampler # define target distribution def target_log_pdf(params): return jax.scipy.stats.t.logpdf(params, df=1).sum() # run HMC params_init = jnp.zeros(10)
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This repository contains PyTorch evaluation code, training code and pretrained EViT models for the ICLR 2022 Spotlight paper: Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie The proposed EViT models obtain competitive tradeoffs in terms of speed / precision: If you use this code for a paper please cite: @inproceedings{liang2022evit, title={Not All Patches are What You
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A very simple MenuBar app that shows the price of the following cryptocurrencies: Screenshot Goals While this is just a very simple app that displays the price of a set of cryptocurrencies, the goal is to create a more feature rich application that displays chart data for a basket of other cryptocurrencies and potentially also incorporate a news section aswell. References GitHub View Github
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