Pinned Repositories
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
cocoapi
COCO API - Dataset @ http://cocodataset.org/
Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
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
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
few-shot-ssl-public
Meta Learning for Semi-Supervised Few-Shot Classification
Firmware
PX4 Autopilot Software
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
sty-yyj's Repositories
sty-yyj/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
sty-yyj/ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
sty-yyj/cocoapi
COCO API - Dataset @ http://cocodataset.org/
sty-yyj/Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
sty-yyj/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
sty-yyj/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
sty-yyj/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
sty-yyj/few-shot-ssl-public
Meta Learning for Semi-Supervised Few-Shot Classification
sty-yyj/Firmware
PX4 Autopilot Software
sty-yyj/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
sty-yyj/LeaningOpenCV
sty-yyj/mmdetection
Open MMLab Detection Toolbox
sty-yyj/practicalAI
A practical approach to learning machine learning.
sty-yyj/PreciseRoIPooling
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).
sty-yyj/pytorch.repmet
THIS PROJECT IS BEING REWORKED TO BE MORE READABLE ALSO CURRENTLY ADDING DETECTION
sty-yyj/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
sty-yyj/rfs
sty-yyj/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
sty-yyj/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
sty-yyj/sty-yyj.github.io
sty-yyj/x-force
winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin