wnakano Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

df-vo

Depth and Flow for Visual Odometry

hungarian_algorithm

An implementation of the Hungarian Algorithm in C++

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mot_evaluation

A python implementation of Multiple Object Tracking(MOT) evaluation toolkit(2D)

muse-maskgit-pytorch

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

napari

napari: a fast, interactive, multi-dimensional image viewer for python

openmht

Python module for multiple hypothesis tracking.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

sift-flow-gpu

SIFT Flow descriptor implemented on PyTorch

structured-graph-tracker

Multi-object tracker using structured graphs, as proposed in the CVIU paper

trackformer

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

tracking_wo_bnw

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

unstablefusion

A Stable Diffusion desktop frontend with inpainting, img2img and more!

vision-transformers

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wgisd

Embrapa Wine Grape Instance Segmentation Dataset - Embrapa WGISD