Pinned Repositories
algorithms
Minimal examples of data structures and algorithms in Python
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-implicit-representations
A curated list of resources on implicit neural representations.
brandleyzhou.github.io
cc
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
cheatsheets
Official Matplotlib cheat sheets
DIFFNet
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
season_depth
The winner in ICRA2022 SeasonDepth Prediction Challenge(SSL track)
SUB-Depth
[arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"
agriforwards-summer-school-2022
Planning for the UEA / Cefas AgriFoRwArdS summer school 2022
brandleyzhou's Repositories
brandleyzhou/DIFFNet
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
brandleyzhou/SUB-Depth
[arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"
brandleyzhou/season_depth
The winner in ICRA2022 SeasonDepth Prediction Challenge(SSL track)
brandleyzhou/algorithms
Minimal examples of data structures and algorithms in Python
brandleyzhou/awesome-computer-vision
A curated list of awesome computer vision resources
brandleyzhou/awesome-implicit-representations
A curated list of resources on implicit neural representations.
brandleyzhou/brandleyzhou.github.io
brandleyzhou/cc
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
brandleyzhou/cheatsheets
Official Matplotlib cheat sheets
brandleyzhou/code_snippets
brandleyzhou/DataMiningExamples
brandleyzhou/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
brandleyzhou/deeplearning-models
A collection of various deep learning architectures, models, and tips
brandleyzhou/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
brandleyzhou/EssentialMath
brandleyzhou/gdown
Download a large file from Google Drive (curl/wget fails because of the security notice).
brandleyzhou/leetcode
Python & JAVA Solutions for Leetcode
brandleyzhou/librealsense
Intel® RealSense™ SDK
brandleyzhou/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
brandleyzhou/monocular_depth
Self-supervised monocular depth estimation
brandleyzhou/omeganet
Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020]
brandleyzhou/paper-reading
brandleyzhou/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
brandleyzhou/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
brandleyzhou/robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/
brandleyzhou/semantic-segmentation
Nvidia Semantic Segmentation monorepo
brandleyzhou/singularity-tutorial
Tutorial for using Singularity containers
brandleyzhou/summerschool_AF