Fodark

anifindbot

Telegram bot to get anime info

anonygan

Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

collaborative-neural-painting

erdos-graphwalker

Calculate coauthorship distance using data extracted from Google Scholar

express-knex-objection

A simple API system on a pg database, using knex and objection to simplify connection and management

mlp-python

A MLP implementation in Python

node-ts-pg-react-material

processing_coderdojo_bl

SimSwap

The official project of SimSwap (ACM MM 2020)

space-invaders-coderdojo

Fodark/express-knex-objection

A simple API system on a pg database, using knex and objection to simplify connection and management

Fodark/anonygan

Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

Fodark/collaborative-neural-painting

Fodark/node-ts-pg-react-material

Fodark/SimSwap

The official project of SimSwap (ACM MM 2020)

Fodark/al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Fodark/ArxivDigest

ArXiv Digest and Personalized Recommendations using Large Language Models

Fodark/chatpgt-telegram

Run your own GPTChat Telegram bot, with a single command!

Fodark/ControlNet

Let us control diffusion models!

Fodark/ControlNet-v1-1-nightly

Nightly release of ControlNet 1.1

Fodark/DeepSeek-VL

DeepSeek-VL: Towards Real-World Vision-Language Understanding

Fodark/denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

Fodark/dl-visualization

This is the source code for the animations in the series "Visualizing Deep Learning"

Fodark/faceshifter

Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)

Fodark/FairMOT

This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.

Fodark/ghibli-api

Fodark/hard-prompts-made-easy

Fodark/hififace

Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)

Fodark/how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

Fodark/insightface

Face Analysis Project on MXNet and PyTorch

Fodark/k-diffusion

Karras et al diffusion for PyTorch

Fodark/lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Fodark/PerceptualSimilarity

LPIPS metric. pip install lpips

Fodark/pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Fodark/pytorch-yolov4-deepsort

Fodark/PyTorch_YOLOv4

PyTorch implementation of YOLOv4

Fodark/StyleSwin

StyleSwin: Transformer-based GAN for High-resolution Image Generation

Fodark/subspace-diffusion

Fodark/TransGAN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

Fodark/yolov4-viou