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Resources about time series forecasting and deep learning.

americaopposeamerica

《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高，所以突然看到一个学者在80年代就有如此清楚的认识，十分钦佩。由于网上只有效果很差的PDF扫描版，所以我想利用OCR技术和肉眼（人体OCR）来转成现代化的文本格式。目前已经全部完成。

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

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, ... 🧠

approaching-almost-any-machine-learning-problem-

Approaching (Almost) Any Machine Learning Problem中译版

augmented-maskrcnn

Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.

automatic-labeling-of-instance-segmentation-mask-rcnn-in-static-background-base-on-labelme

静态背景下实例分割数据集自动标注工具，基于Labelme改进。可以自动生成labelme格式的json文件。(注意：本程序只适用于大量图片基于静态背景)原理是：背景减除后得到高质量的二值图，计算连通域外轮廓坐标，再将信息写入json文件。

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-computer-vision-paper-list

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

awesome-weakly-supervised-segmentation

awesome_underwater_datasets

Pointers to large-scale underwater datasets and relevant resources.

blenderproc

A procedural Blender pipeline for photorealistic training image generation

bpycv

Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

build_synthetic_ishape

Building synthetic iShape dataset by Blender

cap_augmentation

Cut and paste augmentation for object detection and instance segmentation

ccnet_pytorch

Implementation of CCNet: Criss-Cross Attention for Semantic Segmentation

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

ciou

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

cityscapes2coco

some Python scripts can be used to convert the cityscapes dataset to the annotation style of coco dataset for instance segmentation task

computer-vision-synthetic-data-generation

Synthetic data-set generator for Object Detection and Instance Segmentation

copy-and-paste-augmentation

Case study for applying a Copy-and-Paste Augmentation for object detection and instance segmentation in zoologic collection boxes

copy-paste-aug

Copy-paste augmentation for segmentation and detection tasks

copy-paste-augmentation

An unofficial implematation for Copy-Paste augementation in segmentation

copy-paste-for-semantic-segmentation

Unofficial implementation of Copy-Paste method：Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

creatingsyntheticsmokevideos

For early fire detection, smoke must be detect first. This project create smoke videos to feed deep laerning dataset