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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

code_snippets

dataminingexamples

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

diffnet

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

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.)

essentialmath

gdown

Download a large file from Google Drive (curl/wget fails because of the security notice).

leetcode

Python & JAVA Solutions for Leetcode

librealsense

Intel® RealSense™ SDK

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

monocular_depth

Self-supervised monocular depth estimation

omeganet

Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020]

paper-reading

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

season_depth

The winner in ICRA2022 SeasonDepth Prediction Challenge(SSL track)

semantic-segmentation

Nvidia Semantic Segmentation monorepo

singularity-tutorial

Tutorial for using Singularity containers

sub-depth

[arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"

summerschool_af