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Starred repositories
[CVPR'25] SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
Solution for the First Challenge of the Second Phase in the Rayan International AI Contest: Compositional Image Retrieval.
Solution for the Third Challenge of the Second Phase in the Rayan International AI Contest: Backdoored Model Detection.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This is a resouce list for low light image enhancement
A visual introduction to probability and statistics.
Implementation of the paper "AcrTransAct: Pre-trained Protein Transformer Models for the Detection of Type I Anti-CRISPR Activities"
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Papers and Public Datasets for Diabetic Retinopathy Detection
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
All about the fundamentals and working of Diffusion Models
Easy and fast VHDL simulation tool, integrating GHDL and GTKWave
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"
hossshakiba / CDAN
Forked from SinaRaoufi/CDANCDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement
Semantic segmentation for aerial urban understanding using an attention-guided U-Net model.
Intelligent Gender Classification from Facial Images
Generating simpson faces using Deep Convolutional Generative Adversarial Networks, written in PyTorch.
Code and hyperparameters for the paper "Generative Adversarial Networks"
Diagrams for visualizing neural network architecture
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python implementation of global optimization with gaussian processes.
Latex code for making neural networks diagrams