sammy42779 Goto Github PK

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

mixup

Implementation of the mixup training method

mixup-inference

Further improve robustness of mixup-trained models in inference (ICLR 2020)

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

offer

程序员面试金典 中面试考题的代码实现

on-improving-adversarial-transferability-of-vision-transformers

Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)

open_flamingo_sammy

An open-source framework for training large multimodal models.

otter_sammy

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

painter_sammy

Painter & SegGPT Series: Vision Foundation Models from BAAI

pgd-pytorch

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

poisoning-instruction-tuned-models_sammy

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

research

research_resources

Resources of CQU CS 1701 research, include NLP, Knowledge Graph,Cloud Computing, etc.

robustness

Corruption and Perturbation Robustness (ICLR 2019)

sammy42779.github.io

sammyau.github.io

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

tedukuri

《算法竞赛进阶指南》资源社区

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

the-art-of-programming-by-july

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

unsw-17s1

All the courses in semester 1 in 2017 and relevant labs and assignments and my notes.

vision-language-paper-reading

Vision-Language Tasks & Transformer Paper Reading.