Ruoyu Chen's repositories
SMDL-Attribution
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
Study_report
**科学院大学研究生课程资料
objectdetection-saliency-maps
Based on the mmdetection framework, compute various salience maps for object detection.
Image_weighing
Official implement of our work: Online Estimating Weight of White Pekin Duck Carcass by Computer Vision
FaceTechnologyTool
About face technology
Facial_Attributes_Obfuscation
[ACM MM21] Official Code: Identity-Preserving Face Anonymization via Adaptively Facial Attributes Obfuscation
Ruoyuchen10.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Privacy_Enhancing_Face_Obfuscation
[T-IFS 2023] Privacy-enhancing face obfuscation guided by semantic-aware attribution maps
AIX360
Interpretability and explainability of data and machine learning models
AlignLLMHumanSurvey
Aligning Large Language Models with Human: A Survey
awesome-chatgpt-api
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-llm-attributions
A Survey of Attributions for Large Language Models
awesome-VLLMs
This repository collects papers on VLLM applications. We will update new papers irregularly.
ChatGPT
Reverse engineered ChatGPT API
CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
gpt4free
decentralising the Ai Industry, just some language model api's...
LIMA
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
OpenXAI
OpenXAI : Towards a Transparent Evaluation of Model Explanations
prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
segment-anything-finetuner
Simple Finetuning Starter Code for Segment Anything
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
X-R1
minimal-cost for training 0.5B R1-Zero