TheCoreMan13

SecLists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

Deep-Learning-GAN-Python-App

This app convert an image of a horse 2 an image of zebra using a cycle GAN model

this_flower_does_not_exist_demo

Interface for generating 💐flowers💐 using GANs

hub-stylegan2

StyleGAN2 - Official TensorFlow Implementation with practical improvements

dcgan

Implementation of Deep Convolutional Generative Adversarial Networks in Pytorch and Tensorflow

pytorch_diffusion

PyTorch reimplementation of Diffusion Models

pytorch_stylegan_encoder

Pytorch implementation of a StyleGAN encoder. Images to latent space representation.

Text-to-Image-Synthesis

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

DCGAN-PyTorch

PyTorch Implementation of DCGAN trained on the CelebA dataset.

improved-dcgan

PyTorch Implementation of Improved Techniques for Traning Gans

cellular-automata-traffic-flow-framework

Traffic-Simulation-Using-Cellular-Automata

Cellular-Automata-for-traffic-simulation

trafficSimulator

A microscopic traffic simulation in Python

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

LatentSpaceVisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Neural-Nebula

A deep conv. generative adversarial network trained on nebula and images of space

VariationalAutoencoder_Pytorch

Architecture-DCGAN

DCGAN in Pytorch trained on a custom architecture dataset.

StyleGAN-BigGAN-for-Motorbike-Generation

StyleGAN BigGAN for Motorbike Generation

pytorch-pretrained-gans

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

Sentiment-Analysis-Using-Transformers-PyTorch

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

transformer-model

Transformer model implemented from scratch. Includes examples for text classification and generation.

text-classification-with-transformers

Transformer-for-text-classification

A custom state of the art transformer for text classification. It classifies long text (500-1000 words) hotel reviews) into binary sentiment classes i.e. positive or negative.

Transformer-Text-Classification

Transformer Encoder For Text Classification in Pytorch

Transformer

Text classification using Transformer on IDMB dataset.

Text-classification-using-Transformer-s-Encoder

BERT-Transformer-Pytorch

Basic implementation of BERT and Transformer in Pytorch in one short python file (also includes "predict next word" GPT task)