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PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)
[TMLR 2024] Efficient Large Language Models: A Survey
Memory-Efficient CUDA kernels for training ConvNets with PyTorch.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Website for "RecMind: Large Language Model Powered Agent For Recommendation" (NAACL'2024 Findings)
A generative AI-powered framework for testing virtual agents.
Developed a detection model for Face Morphing Attacks using PyTorch for the Biometrics module
Official implementation of the paper "Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models"
👯♀️ We are more alike than different - morphing one face to another
PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Local Binary Patterns implementation using Python3 and OpenCV
Implementation of Denoising Diffusion Probabilistic Models in PyTorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
links to conference publications in graph-based deep learning
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
YanchengWang / Yet-Another-EfficientDet-Pytorch
Forked from zylo117/Yet-Another-EfficientDet-PytorchThe pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
👀Feature-map visualized, Implementation in Pytorch
Try out different pruning-approaches on lightweight Backbones.
SwinIR: Image Restoration Using Swin Transformer (official repository)
PyTorch implementation of DEC (Deep Embedding Clustering)
Unsupervised Deep Embedding for Clustering Analysis (DEC)
Methods and Implements of Deep Clustering
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
A curated list for awesome self-supervised learning for graphs.
Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification