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annotated_deep_learning_paper_implementations

🧑‍🏫 50! 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, ... 🧠

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

cft1

davsod

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Oral)

django

一个django框架的游戏

django-program

a django program

django_game

e-measure

Enhanced-alignment Measure for Binary Foreground Map Evaluation, IJCAI 2018 (Oral)

eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

evaluate-sod

A One-key fast evaluation on saliency object detection with Muti-thread and GPU implementation including MAE, Max F-measure, S-measure, E-measure.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gconet

jl-dcf-pytorch

Code of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)

multispectral-object-detection

private-detector

Bumble's Private Detector - a pretrained model for detecting lewd images

python-100-days

Python - 100天从新手到大师

raft

for optical flow

s-measure

Structure-measure: A New Way to Evaluate Foreground Maps, ICCV 2017 (Spotlight)

saliency-evaluation-toolbox

This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

ufo

Official PyTorch implementation of the unified transformer framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection.

vsod-using-multi-scale-self-attention

codes of my thesis

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/