heitorrapela

6s965-fall2022

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, ... 🧠

B-cos

B-cos Networks: Alignment is All we Need for Interpretability

deep-hough-transform

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

docker-opencv-python

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

imagefusion_densefuse

DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0

imaginAIry

AI imagined images. Pythonic generation of stable diffusion images.

Infrared-Small-Target-Detection

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

minimal-diffusion

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

Multimodal-Object-Detection-via-Probabilistic-Ensembling

NARUTO-Sharingan-Iris-Overlay

MediaPipeのFaceMesh検出を用いて、虹彩部分に写輪眼(©NARUTO -ナルト-)を表示するプログラム

python_plot_utils

A simple code for plotting figure, colorbar, and cropping with python

pytorch-quantization-workshop

Code for a workshop hosted at the MLOps World Summit '22

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

SciencePlots

Matplotlib styles for scientific plotting

stable_diffusion_playground

Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.

TarDAL

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

torchshow

Visualize PyTorch tensors with a single line of code.

tueplots

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

UMF-CMGR

unetgan

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

vision

Datasets, Transforms and Models specific to Computer Vision

Yolov5_StrongSORT_OSNet

Real-time multi-camera multi-object tracker using YOLOv5 and StrongSORT with OSNet

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors