Grant runs a YouTube channel called 3Brown1Blue, where he uses the manim library to create and control these animations

Using a batched implementation, NeuralTalk2 still makes use of RNNs and is based on Torch, and can run on a GPU while supporting CNN finetuning. Although the developer has deprecated the original NeuralTalk, it is still available on GitHub for anyone to take a look.

The developer claims that instead of simply testing random payloads, his tool analyzes the websites and generates specially engineered payloads that work. Some of the various features of this tool include:

http://agro.ruicasa.com/kjv/v-ideos-saint-etienne-v-p-s-g-v-fr-fr-1ssi-1.php

http://m.dentisalut.com/qtk/v-ideos-Deportivo-La-Coruna-Deportivo-Alaves-v-en-gb-1xzq-16.php

http://stream88.colomboserboli.com/lvi/videos-Metz-Bordeaux-v-en-gb-1ooh30122020-21.php

http://vert.actiup.com/eil/Video-cultural-leonesa-v-granada-v-es-es-1xjm-3.php

http://skrs.vidrio.org/udo/Video-milan-v-juventus-v-it-it-1nhc2-1.php

http://vert.actiup.com/eil/video-cultural-leonesa-v-granada-v-es-es-1kmm-7.php

http://agro.ruicasa.com/kjv/video-saint-etienne-v-p-s-g-v-fr-fr-1dsv-25.php

http://vert.actiup.com/eil/Video-Navalcarnero-Las-Palmas-v-en-gb-1xss30122020-.php

http://m.dentisalut.com/qtk/Video-olot-v-osasuna-v-es-es-1tpw-17.php

http://agro.ruicasa.com/kjv/Video-saint-etienne-v-p-s-g-v-fr-fr-1hvy-17.php

http://agro.ruicasa.com/kjv/v-ideos-Olympique-Marseille-Montpellier-v-en-gb-1qmi-.php

http://svt.munich.es/tvk/video-san-pedro-v-asc-diaraf-v-fr-fr-1nua-22.php

http://vert.actiup.com/eil/Video-Navalcarnero-Las-Palmas-v-en-gb-1ots-14.php

http://svt.munich.es/tvk/v-ideos-Gzira-United-Senglea-Athletic-v-en-gb-1urm-.php

http://agro.ruicasa.com/kjv/videos-Olympique-Marseille-Montpellier-v-en-gb-1muz-8.php

http://skrs.vidrio.org/udo/videos-Eupen-Genk-v-en-gb-thr30122020-.php

http://skrs.vidrio.org/udo/Video-Eupen-Genk-v-en-gb-cfa30122020-.php

http://vert.actiup.com/eil/videos-Navalcarnero-Las-Palmas-v-en-gb-1zrl-5.php

http://agro.ruicasa.com/kjv/videos-Olympique-Marseille-Montpellier-v-en-gb-1lks-1.php

http://svt.munich.es/tvk/video-Gzira-United-Senglea-Athletic-v-en-gb-1lqj30122020-16.php

tic lead performance and bolstered by world-class acting, marvelous visual language, a teleplay that’s never less than gripping, and an admirable willingness to embrace contradiction and ambiguity, it’s one of the year’s best series,” critic Allison Shoemaker wrote for Roger Ebert.

GPT-2 is a huge transformer-based language model that is trained on an equally massive dataset, text from over 8 billion web pages, to be exact. The goal? Predict the next word/s when given a set or all of the previous words from a context.

It offers scalability, dynamic pipeline generation, and extensibility. The simple user interface makes working with Airflow smooth, and its robust integration capabilities with other tools and services help in getting the most out of it by saving time. Airflow is actively being used by some of the big names in the industry, such as Adobe, Lyft, Slack, Expedia, and more.

Airflow is an open-source workflow management tool from the Apache Software Foundation that is powered by Python. Airflow lets you perform a range of activities on your workflows, such as authoring, scheduling, and monitoring them. Workflows, when defined as code, become much easier to manage, test, and collaborate.

At its core, NeuralTalk is an image captioning project in Python and NumPy that used Multimodal Recurrent Neural Networks. Thanks to the improvements in the technology and better hardware support, the developer released NeuralTalk2, which is leagues better and faster than the original NeuralTalk.

Cross-Site Scripting, aka XSS, is a vulnerability that can be extremely annoying and harmful for websites. By injecting malicious code from the client’s side, the attacker can cause damage to the website and the data beyond control. s0md3v’s XSStrike is essentially an XSS detection suite that is unique in itself.

Hardik Vasa’s script lets you download hundreds of images off Google to your computer at once. The way this tool works is you install the library, use the command, mention your desired keywords as arguments, and let the tool work its magic. rebound essentially searches for the images with the specified keywords in Google Images’ index, and once found downloads them.

The developer claims that more than 95% of deep fake videos on the internet have been created with this tool. You can find the set-up guide and a bunch of facesets to get yourself started on the project’s GitHub page.

You can also use the library from another Python file, and it would still work as usual. A fun and useful project indeed, if you ever need to download images from Google in bulk in one go.

Photon is a powerful and easy to use web-crawler that is built using Python. s0md3v’s lightweight and fast crawler follow the guidelines and methodologies from the Open-Source Intelligence framework, which allows the collection and analysis of information acquired from open or public sources.

DeepFaceLab is one of the most fun GitHub projects on Python on this list. DeepFaceLab is a tool that can create deep fakes images and videos, allowing you to do a lot of fun stuff such as change, de-age, and swap faces. To make things more compelling, you can even change their speech, although this requires proficiency in video editing software.

Photon saves all the extracted information in an organized manner, which can even be exported as a JSON file. The tool also offers various options to customize its working, such as controlling the timeout, excluding some URLs, and so much more that we recommend you give it a deep dive.

The GitHub repo has the code and the models for OpenAI’s paper “Language Models are Unsupervised Multitask Learners”, while the page mentions the description and a few of caveats of GPT-2.