South7X

South7X's Stars

• dvlab-research/ControlNeXt

  Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA

  Language:Python1.3k60

• OPTML-Group/UnlearnCanvas

  UnlearnCanvas: A Stylized Image Dataaset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu

  Language:Python472

• SHI-Labs/Forget-Me-Not

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

  Language:Python1086

• clear-nus/selective-amnesia

  Language:Python545

• OPTML-Group/Unlearn-Saliency

  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

  Language:Python9412

• rohitgandikota/unified-concept-editing

  Unified Concept Editing in Diffusion Models

  Language:Python883

• rohitgandikota/erasing

  Erasing Concepts from Diffusion Models

  Language:Python52334

• nupurkmr9/concept-ablation

  Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)

  Language:Python14420

• louaaron/Score-Entropy-Discrete-Diffusion

  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

  Language:Python36234

• JeanKaddour/NoTrainNoGain

  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)

  Language:Python774

• princeton-nlp/MeZO

  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

  Language:Python1k61

• epfml/OptML_course

  EPFL Course - Optimization for Machine Learning - CS-439

  Language:Jupyter Notebook1.1k311

• AIoT-MLSys-Lab/Efficient-LLMs-Survey

  [TMLR 2024] Efficient Large Language Models: A Survey

  96781

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.1k2.8k

• OpenLMLab/LOMO

  LOMO: LOw-Memory Optimization

  Language:Python97568

• princeton-nlp/LLM-Shearing

  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

  Language:Python54442

• pharmapsychotic/clip-interrogator

  Image to prompt with BLIP and CLIP

  Language:Python2.7k433

• MadryLab/photoguard

  Raising the Cost of Malicious AI-Powered Image Editing

  Language:Jupyter Notebook55243

• YuxinWenRick/tree-ring-watermark

  Language:Python24230

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k277

• adobe-research/custom-diffusion

  Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

  Language:Python1.8k138

• xu-ji/information-bottleneck

  Deep Learning & Information Bottleneck

  Language:Jupyter Notebook482

• mosaicml/examples

  Fast and flexible reference benchmarks

  Language:Shell435124

• w86763777/pytorch-ddpm

  Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

  Language:Python48661

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.1k753

• HKUNLP/reparam-discrete-diffusion

  Reparameterized Discrete Diffusion Models for Text Generation

  Language:Python903

• YuxinWenRick/hard-prompts-made-easy

  Language:Python59954

• Hello-SimpleAI/chatgpt-comparison-detection

  Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

  Language:Python1.3k119

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.6k272

• guangyliu/LatentOps

  Source code of LatentOps

  Language:Python779