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pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

precipitation-prediction-convlstm-keras

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

pytorch-mask-rcnn

satellite-image-prediction-relying-on-gan-and-lstm-neural-networks

Unofficial implementation Satellite Image Prediction Relying on GAN and LSTM Neural Networks

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

siamese

One-shot learning for image classification using Siamese neural networks

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

siggraph2017_inpainting

Code for the paper 'Globally and Locally Consistent Image Completion'. http://iizuka.cs.tsukuba.ac.jp/projects/completion/

simplenet

stdn

Code for our Spatiotemporal Dynamic Network

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

svm

用Python实现SVM多分类器

swin-unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

swintransformer-yolov5

一个修改YOLOv5以使用SwinTransformer模块的代码仓库。A repository that modifies YOLOv5 to use various SwinTransformer blocks.

testimage

texgen

TexGen is a geometric textile modelling software package to be used for obtaining engineering properties of woven textiles and textile composites.

tutorial

Tutorial source code(about machine learning and deep learning)

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

unet

Unet图像分割以及Pytorch下环境搭建

unet-segmentation-pytorch-nest-of-unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

unireplknet

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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/