yzlicloud

SiameseTracking4UAV

This code library gives the experimental results and most of the publicly available Siamese trackers.

MambaVision

Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

WebUAV-3M

WebUAV-3M: A million-scale multi-modal UAV tracking benchmark

Embodied-AI-Guide

具身智能入门路径&信息总结

Embodied-AI-Guide

具身智能入门路径&信息总结

Awesome-Embodied-AI

PIDNet

This is the official repository for our recent work: PIDNet

sirst

A dataset constructed for single-frame infrared small target detection

Infrared-Small-Target-Detection

devit

External-Attention-pytorch

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

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

ucas-ppt

**科学院大学 国科大课件ppt，主要课程为模式识别，深度学习，高级人工智能

AICourse

华南师范大学人工智能课程PPT

REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

AsyFOD

(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".

pdf

📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。

IntentionRecognition

The repository is an outcome of a school-based project. The codes are intended to control, calculate and perform multi-UAV motions and predictions.

CEASC

The official implementation of CEASC

DSLT

Deep Regression Tracking with Shrinkage Loss

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

pyChatGPT

An unofficial Python wrapper for OpenAI's ChatGPT API

PyChatGPT

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

MetaAdapt

[ACL 2023] PyTorch Implementation of MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning

ML-iFSOD

[TCSVT'22]Meta-Learning Based Incremental Few-Shot Object Detection

Few-Shot-One-Class-Classification-via-Meta-Learning

A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification

Meta-Faster-R-CNN

Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'

iOD

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning