Official repo of RepOptimizers and RepOpt-VGG

Examples of using FiftyOne

Refine high-quality datasets and visual AI models

Check gradient flow in Pytorch

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

[ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

[Preprint] "SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training", Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, and Z…

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Blood on the Clocktower virtual grimoire & town square

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Step #1: Detect the presence of a colored ball using computer vision techniques. Step #2: Track the ball as it moves around in the video frames, drawing its previous positions as it moves.

A range of featured graph of all my past sketch.

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

[CVPR 2018 UG2 Challenge, Winner] BRIDGING THE GAP BETWEEN COMPUTATIONAL PHOTOGRAPHY AND VISUAL RECOGNITION

Implementation of SurfCon model for Synonym Discovery on Privacy-Aware Clinical Data

[AAAI'2020] "Fractional Skipping: Towards Finer-Grained Dynamic CNN inference", Jianghao Shen, Yonggan Fu, Yue Wang, Pengfei Xu, Zhangyang Wang, Yingyan Lin

NAACL 2019 "Structured Minimally Supervised Learning for Neural Relation Extraction"

[Preprint] "In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation" by Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang …

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

这个repo是为了锤北大垃圾教授——冯仁杰

[WACV 2020] "Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification" by Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua