yuyanli0831 Goto Github PK

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

awesome-deepfakes

Everything Deepfakes

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

computer-vision-interview

Interview questions to ponder related to computer vision.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cv_interview

I hope this repo can help you a lot!

cv_interviews_q-a

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeppointcloud-benchmarks

Pytorch framework for doing deep learning on point clouds.

depth-image-quality-enhancement

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

lc-all-solutions

My own leetcode solutions by python

leetcode

LeetCode Problems' Solutions

leetcode-1

🎓Leetcode solutions in Python 📚

leetcode-2

Python & JAVA Solutions for Leetcode

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

mappedconvolutions

Official PyTorch implementation of Mapped Convolutions

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

omnifusion

omnifusion-website

panodepth

panodepth-website

panodepth_3dv

pvamvsnet

This repository is established for Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation

python

All Algorithms implemented in Python

setr-pytorch

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

sota-point-cloud

Deep Learning for 3D Point Clouds