leonidas-timefly

leonidas-timefly's Stars

• ml-research/Q16

  Language:Jupyter Notebook173

• YancyKahn/CoA

  Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM

  Language:Python12

• Alibaba-MIIL/ML_Decoder

  Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

  Language:Python31452

• llm-attacks/llm-attacks

  Universal and Transferable Attacks on Aligned Language Models

  Language:Python3.2k451

• willwulfken/MidJourney-Styles-and-Keywords-Reference

  A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

  11.9k1.7k

• pharmapsychotic/clip-interrogator

  Image to prompt with BLIP and CLIP

  Language:Python2.6k429

• first20hours/google-10000-english

  This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

  3.9k1.9k

• google/prompt-to-prompt

  Language:Jupyter Notebook3k283

• princeton-vl/RAFT-Stereo

  Language:Python661128

• gangweiX/IGEV

  [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo

  Language:Python51263

• autonomousvision/unimatch

  [TPAMI'23] Unifying Flow, Stereo and Depth Estimation

  Language:Python1k103

• megvii-research/CREStereo

  Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

  Language:Python47559

• aim-uofa/StyleDrop-PyTorch

  This is an unofficial PyTorch implementation of StyleDrop: Text-to-Image Generation in Any Style.

  Language:Python19712

• jiamingzhang94/Unlearnable-Clusters

  CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples

  Language:Python191

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python15.6k1.5k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python29.5k2.7k

• omerbt/Text2LIVE

  Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

  Language:Python87881

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k279

• SHI-Labs/Forget-Me-Not

  Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023

  Language:Python1057

• nitrosocke/dreambooth-training-guide

  60031

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python96060

• ShivamShrirao/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

  Language:Python1.9k505

• byerose/Awesome-Foundation-Model-Security

  A curated list of trustworthy Generative AI papers. Daily updating...

  675

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.5k937

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.3k214

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook4.6k613

• HanxunH/Unlearnable-Examples

  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

  Language:Python14716

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python138k26.3k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.2k10k

• XavierXiao/Dreambooth-Stable-Diffusion

  Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

  Language:Jupyter Notebook7.6k790