Eugene's starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
emoji-cheat-sheet
A markdown version emoji cheat sheet
pyTelegramBotAPI
Python Telegram bot api.
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Blue-Team-Notes
You didn't think I'd go and leave the blue team out, right?
openseg.pytorch
The official Pytorch implementation of OCNet, OCRNet, and SegFix.
hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Open-Source-Intellingence-Resources
Compilation of Resources from TCM's OSINT Course
CascadePSP
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
TonFunClessons_ru
FunC lessons for The Open Network
awesome-ton
A curated list of remarkable libraries, tools, services, protocols, and smart contracts related to TON.
Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale
This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"
semanticGAN_code
Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/
OSINT-and-Cybersecurity-accounts-in-Mastodon
This repository brings together tool builders, bloggers, speakers, book authors, and other interesting Mastodon accounts
MaxSquareLoss
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Pytorch-DeepLab-v3-plus
deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
parallelize-ml-inference
Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference
ton-binaries
Pre-built tools for TON developers