Mark Jinyang Liu's repositories
awesome-image-registration
image registration related books, papers, videos, and toolboxes
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Cross-View
Code for Muti-view Action Recognition via View-invariant Dynamic Representations
CS-Notes
:books: Computer Science Learning Notes
cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
CS231
Stanford CS231(2017) course assignments.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Data-Science-Pro
Regularly Updated | Collection of the best Data Science Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet as well
fake-face-detection
some collected paper and personal notes relevant to Fake Face Detetection
fake-video-detection-without-pixels
We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
GeoPro
Investigate the misalignment between Point Cloud and perspective image
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
ml-yearning
Machine Learning Yearning (full pdf)
NM-sparsity
NM-Sparsity-For-DiffusionModel
Spoon-Knife
This repo is for demonstration purposes only.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
wdsr
Wide Activation for Efficient Image and Video Super-Resolution
wdsr_ntire2018
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018