Stars
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
SCEPTER is an open-source framework used for training, fine-tuning, and inference with generative models.
Official implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
[ISPRS2025] SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
Techniques for deep learning with satellite & aerial imagery
A Paperlist of Adversarial Attack on Object Detection
Diffusion Model-Based Image Editing: A Survey (TPAMI 2025)
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Image to prompt with BLIP and CLIP
Awesome Machine Unlearning (A Survey of Machine Unlearning)
A collection of resources and papers on Diffusion Models
✨✨Latest Advances on Multimodal Large Language Models
A curated list of awesome responsible machine learning resources.
Reading list for research topics in multimodal machine learning
⏰ AI conference deadline countdowns
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Existing Literature about Machine Unlearning
30 mini Swift Apps for self-study
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
Official repository of FLatten Transformer (ICCV2023)
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.