Stars
Clip model for multimodal model based on WSI image and report
PCoQA: Persian Conversational Question Answering Dataset
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
A project for the artificial intelligence course
The app first takes a twitter screen_name. Then using a model produced by FastText, classifies the last tweets of that account. Finally it plots a pie chart to visualize the interests of the user. …
An implementation of the algorithm which can be found in this paper: https://dl.acm.org/citation.cfm?id=2825227
BERTweet: A pre-trained language model for Persian Tweets
arm-on / PREDICT-Persian-Reverse-Dictionary
Forked from AUT-Data-Group/PREDICT-Persian-Reverse-DictionaryThe first intelligent Persian reverse dictionary
The most important commands used to master the essentials of the linux operating system
Interpretability methods applied on image classifiers trained on MNIST and CIFAR10
Enhance an image taken under water using color balance and fusion
A complete content management system made with PHP from scratch
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Hiera: A fast, powerful, and simple hierarchical vision transformer.
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Official PyTorch implementation of Fully Attentional Networks
Corruption and Perturbation Robustness (ICLR 2019)
Official implementation of paper Gradient Matching for Domain Generalization
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Open-source and strong foundation image recognition models.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
PyTorch code and models for the DINOv2 self-supervised learning method.