Bostoncake's repositories
hello-world
Learn to use GitHub
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
azure-powershell
Microsoft Azure PowerShell
azure-rest-api-specs
The source for REST API specifications for Microsoft Azure.
ChatReviewer
ChatReviewer: use ChatGPT to review papers; ChatResponse: use ChatGPT to respond to reviewers.
clash-rules
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 客户端。
CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
DiffRate
[ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate.
dragon-book-exercise-answers
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。
EasyContext
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
ICCV-2023-Papers
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
osu
rhythm is just a *click* away!
PCS-FUDA
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
PromptAlign
[NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Tang
泡面哥汤达人的前世今生，从默默无闻到人人喊打【截止到2019年12月9日】
tigerxly.com
Pornhub style personal index page built with Bootstrap 4.
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TTAC
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yunzai-Bot
原神QQ群机器人，通过米游社接口，查询原神游戏信息，快速生成图片返回