NHTD12502

NHTD12502's Stars

• Jenniferlyx/Explaining-Knowledge-Distillation-by-Quantifying-the-Knowledge

  Language:Python161

• zsdonghao/research-and-coding

  研究资源列表 A curated list of research resources

  17119

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.9k579

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.2k679

• JindongGu/Awesome-Prompting-on-Vision-Language-Model

  This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

  41132

• winycg/CLIP-KD

  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation

  Language:Python842

• KentoNishi/awesome-all-you-need-papers

  A list of all "all you need" papers. Updated daily using the arXiv API.

  Language:Python847

• nelson1425/EfficientAD

  Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

  Language:Python30278

• lk-learner/IBM-Data-Analyst-Professional-Certificate

  IBM DATA ANALYST PROFESSIONAL CERTIFICATE

  Language:Jupyter Notebook3813

• MaheepChaudhary/Causality-in-Trustworthy-Machine-Learning

  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.

  Language:Python888

• Wuyxin/DISC

  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)

  Language:Python405

• JoeSu666/SiiMIL

  Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in breast cancer whole slide images

  Language:Python5

• DmitryRyumin/WACV-2024-Papers

  WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python8811

• layer6ai-labs/lfr

  Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors

  Language:Python12

• yueliu1999/HSAN

  [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

  Language:Python25937

• bpostance/learn_data_science

  Repository of demos, resources and tutorials on DataScience and Machine Learning.

  Language:Jupyter Notebook1015

• mahmoodlab/CLAM

  Open source tools for computational pathology - Nature BME

  Language:Python1.2k373

• Kangningthu/ItS2CLR

  Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning (CVPR 2023)

  Language:Python414

• ssbin4/Closer-Intervention-CBM

  Language:Python237

• ExplainableML/ProbVLM

  ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

  Language:Python362

• lucmos/relreps

  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

  Language:Jupyter Notebook566

• linyq2117/TagCLIP

  Language:Python706

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k113

• massgravel/Microsoft-Activation-Scripts

  Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

  Language:Batchfile110k10.6k

• witnessai/Awesome-Open-Vocabulary-Object-Detection

  A curated list of papers, datasets and resources pertaining to open vocabulary object detection.

  29118

• Trustworthy-ML-Lab/Label-free-CBM

  A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

  Language:Jupyter Notebook8217

• google-deepmind/dsprites-dataset

  Dataset to assess the disentanglement properties of unsupervised learning methods

  Language:Jupyter Notebook48869

• giangnguyen2412/advanced-XAI-for-DeepLearning

  Here I gather promising research directions to make DNNs interpretable

  152

• andreeadeac22/Mila-Graph-Reading-Group

  Weekly reading group on Graph Representation Learning at Mila

  163

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k1.6k