zlh-thu

zlh-thu's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.9k3264053.4k

• kakaobrain/rq-vae-transformer

  The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  Language:Jupyter Notebook820162390

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook811836107

• PaddlePaddle/PaddleFL

  Federated Deep Learning in PaddlePaddle

  Language:Python49925117122

• BayesWatch/cinic-10

  A drop-in replacement for CIFAR-10.

  Language:Jupyter Notebook23715522

• yzd-v/cls_KD

  'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

  Language:Python22092218

• coderpiaobozhe/classifier-free-diffusion-guidance-Pytorch

  a simple unofficial implementation of classifier-free diffusion guidance

  Language:Python17631227

• NVIDIA-AI-IOT/clip-distillation

  Zero-label image classification via OpenCLIP knowledge distillation

  Language:Python1187315

• salesforce/MUST

  PyTorch code for MUST

  Language:Python10661012

• tribhuvanesh/knockoffnets

  Knockoff Nets: Stealing Functionality of Black-Box Models

  Language:Python917431

• hunto/DiffKD

  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023

  797117

• jinyuan-jia/BadEncoder

  Language:Python791413

• zju-vipa/CMI

  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

  Language:Python6861017

• zju-vipa/Fast-Datafree

  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation

  Language:Python673911

• Jin-Ying/Multi-Level-Logit-Distillation

  Code for 'Multi-level Logit Distillation' (CVPR2023)

  Language:Jupyter Notebook575108

• anguyen8/gScoreCAM

  Language:Python493118

• LLNL/fastcam

  A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

  Language:Jupyter Notebook44726

• farhad-dalirani/PytorchRevelio

  Visualization toolkit for learned features of neural networks in PyTorch. Feature Visualizer, Saliency Map, Guided Gradients, Grad-CAM, DeepDream, ...

  Language:Python41125

• da2so/Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation

  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch

  Language:Python29115

• sMamooler/CLIP_Explainability

  code for studying OpenAI's CLIP explainability

  Language:Jupyter Notebook27105

• TouchSky-Lab/Awesome-Data-Free-Knowledge-Distillation

  Data-Free Knowledge Distillation

  20102

• zwang84/zsdb3kd

  Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.

  Language:Python20341

• leehomyc/Style-Transfer-Adaptive-Instance-Normalization

  PyTorch Implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

  Language:Python18405

• AntigoneRandy/PTYNet

  The official implementation of the paper "Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks".

  Language:Python17161

• RorschachChen/entangled-watermark-torch

  Language:Python17211

• GuanhaoGan/robust-model-watermarking

  official implementation of Towards Robust Model Watermark via Reducing Parametric Vulnerability

  Language:Python13110

• zeyangsha/Cont-Steal

  Language:Python11122

• ayberkuckun/DNN-Fingerprinting

  Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

  Language:Python5101

• nkunetlab/Near-boundary-data

  Code Repository

  Language:Python110

• nkunetlab/nkunetlab-TMOVF

  Language:Python110