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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

depthclip

Official implementation of "Can Language Understand Depth?"

derpn

Dimension decomposition region proposal network -- a novel region proposal method for more general object detection.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detr

End-to-End Object Detection with Transformers

det_defect_gongye

find defect

diffusion_model_for_generate_cat

train a diffusion model for generate cats!

documentlayoutanalysis

Document Layout Analysis resources repos for development with PdfPig.

dsin

Deep Image Compression using Decoder Side Information

east

A tensorflow implementation of EAST text detector

ebsynth

Fast Example-based Image Synthesis and Style Transfer

eiseg

高效交互式语义分割标注软件EISeg 『Efficient and intelligent interactive segmentation annotation software』

embodiedscan

[CVPR 2024] EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

face-expression-detect

face-expression prediction using python

faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

facial_skin_care

人脸磨皮美白

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn_pytorch

Faster RCNN with PyTorch

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fl-ce-softmax-gradient

flash-attention

Fast and memory-efficient exact attention

floorplantransformation

Raster-to-Vector: Revisiting Floorplan Transformation

focal-loss

Focal loss for Dense Object Detection

focalloss

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.