Name: 2prime
Type: User
Company: Peking University,School of Mathmatical Science
Bio: I am a math undergraduate at Peking University working on mathematics view of machine learning/image processing. I will join Stanford ICME as a PHD student 2019
Location: Peking
Blog: https://2prime.github.io/
2prime's Projects
2prime's home©
Optimal Transport for Dummies - Code, slides and article
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A resource repository for 3D machine learning
Course notes for AA203
The classical papers and codes about generative adversarial nets
A Latex style and template for paper preprints (based on NIPS style)
BlockDrop: Dynamic Inference Paths in Residual Networks
Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software
Codes for Learning Affinity via Spatial Propagation Networks
All CME 211 Coursework
All my lab work on CSAPP for course ICS(计算机系统导论) of PKU.
Code for "CUBE: Curvature Regularization Via Weighted Nonlocal BiHarmonic"
Papers-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pre slides
Summaries and notes on Deep Learning research papers
TensorFlow Basic Tutorial Labs
猫狗大战
Lua implementation of Entropy-SGD
FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Distributionally robust neural networks for group shifts
A web-based dashboard for Deep Learning
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018