Author: Deep Learner

Natural Language Processing

A research-oriented benchmarking framework for advancing federated learning

FedNLP FedNLP is a research-oriented benchmarking framework for advancing federated learning (FL) in natural language processing (NLP). It uses FedML repository as the git submodule. In other words, FedNLP only focuses on adavanced models and dataset, while FedML supports various federated optimizers (e.g., FedAvg) and platforms (Distributed Computing, IoT/Mobile, Standalone). The figure below is the overall structure of FedNLP. avatar Installation After git clone-ing this repository, please run the following command to install our dependencies. conda create -n fednlp python=3.7 […]

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Web Crawling & Web Scraping

A command-line program to download media on OnlyFans

onlyfans-scraper A command-line program to download media, like posts, and more from creators on OnlyFans. Installation You can install this program by entering the following in your console: pip install onlyfans-scraper Setup Before you can fully use it, you need to fill out some fields in a auth.json file. This file will be created for you when you run the program for the first time. These are the fields: { “auth”: { “app-token”: “33d57ade8c02dbc5a333db99ff9ae26a”, “sess”: “”, “auth_id”: “”, “auth_uniq_”: “”, […]

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Tool

A Delaunay-based unstructured mesh generator

JIGSAW JIGSAW is an unstructured mesh generator and tessellation library; designed to generate high-quality triangulations and polyhedral decompositions of general planar, surface and volumetric domains. JIGSAW includes refinement-based algorithms for the construction of new meshes, optimisation-driven techniques for the improvement of existing grids, as well as routines to assemble (restricted) Delaunay tessellations, Voronoi complexes and Power diagrams. This package provides a Python based scripting interface to the underlying JIGSAW mesh generator, including a range of additional facilities for file I/O, […]

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Web Crawling & Web Scraping

Fault tolerant, stealthy, distributed web crawling with Pyppeteer

crawler-cluster Distributed, Fault-Tolerant Web Crawling. Multi-process, multiple workers Client process queues tasks in Redis. Worker nodes pull tasks from Redis, execute task, and store results in Redis. Client process pulls results from Redis. Pros: Worker nodes can run on any machine. Add or remove worker nodes at runtime without disrupting the system. Achieves fault-tolerance through process isolation and monitoring. Workers are ran as systemd services, where each service is the smallest possible processing unit (either a single browser with a […]

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GUI

A fast and powerful Graphical User Interface Toolkit for Python

Dear PyGui Dear PyGui is a simple to use (but powerful) Python GUI framework. Dear PyGui is NOT a wrapping of Dear ImGui in the normal sense. It is a library built with Dear ImGui which simulates a traditional retained mode GUI (as opposed to Dear ImGui’s immediate mode paradigm). Dear PyGui is fundamentally different than other Python GUI frameworks. Under the hood, Dear PyGui uses the immediate mode paradigm and your computer’s GPU to facilitate extremely dynamic interfaces. Dear […]

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Tool

A Fast End-to-End Neural Speech Recognition Toolkit

Espresso Espresso is an open-source, modular, extensible end-to-end neural automatic speech recognition (ASR) toolkit based on the deep learning library PyTorch and the popular neural machine translation toolkit fairseq. Espresso supports distributed training across GPUs and computing nodes, and features various decoding approaches commonly employed in ASR, including look-ahead word-based language model fusion, for which a fast, parallelized decoder is implemented. We provide state-of-the-art training recipes for the following speech datasets: Requirements and Installation PyTorch version >= 1.5.0 Python version […]

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Security

An Obfuscation-Neglect Android Malware Scoring System

Quark-Engine Quark-Engine is also bundled with Kali Linux, BlackArch. :shipit: A trust-worthy, practical tool that’s ready to boost up your malware reverse engineering. Why Quark? Android malware analysis engine is not a new story. Every antivirus company has their own secrets to build it. With curiosity, we develop a malware scoring system from the perspective of Taiwan Criminal Law in an easy but solid way. We have an order theory of criminal which explains stages of committing a crime. For […]

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Python

Learn Text Classification With Python and Keras

Imagine you could know the mood of the people on the Internet. Maybe you are not interested in its entirety, but only if people are today happy on your favorite social media platform. After this course, you’ll be equipped to do this. While doing this, you will get a grasp of current advancements of (deep) neural networks and how they can be applied to text. Reading the mood from text with machine learning is called sentiment analysis, and it is […]

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Course

How TensorFlow Works?

Tensor Flow permits the subsequent: Tensor Flow helps you to deploy computation to as a minimum one or extra CPUs or GPUs in a computing tool, server, or mobile device in a completely easy manner. This way the matters may be completed very speedy. Tensor Flow lets you specific your computation as a statistics glide graph. Tensor Flow helps you to visualize the graph using the in-constructed tensor board. You can test and debug the graph very without difficulty. Tensor […]

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Machine Learning

A tutorial on training a DarkNet YOLOv4 model for the CrowdHuman dataset

YOLOv4 CrowdHuman Tutorial This is a tutorial demonstrating how to train a YOLOv4 people detector using Darknet and the CrowdHuman dataset. Setup If you are going to train the model on Google Colab, you could skip this section and jump straight to Training on Google Colab. Otherwise, to run training locally, you need to have a x86_64 PC with a decent GPU. For example, I mainly test the code in this repository using a desktop PC with: NVIDIA GeForce RTX […]

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