Ali Ansari's repositories
Ezafe-recognition
[ICWR 2023] Official repository of paper titled "Persian Ezafeh Recognition using Transformer-Based Models".
audio-emotional-classification
Classify a speech dataset by their emotions using some classification models
Pacman-project
Pacman-project phase 1 to phase 4 for Principles & Applications of Artificial Intelligence
heart-disease-diagnosis
Diagnosing heart sickness rate using fuzzy algorithms
IE-midterm
A simple HTML-CSS-JS website to show Github information of a user
SnailJumper
Project of Principles of Computational Intelligence course in university using genetic algorithms
YGM-Front-end
Project for Software Engineering using Reactjs
artistic-picture
Generating artistic pictures using neural style transfer
classification-iris-database
classification IRIS database using sklearn and plot results using seaburn
classify-cifar-dataset
Classifying CIFAR-10 dataset images using MLP neural network
CE202-LC-Lab-Manual
Manual and Template Sources of Logic Circuit Laboratory (Verilog Templates)
Dancing_fountain
A project using Arduino and Proteus to simulate a simple dancing fountain
Information-Retrieval-Search-Engine
A simple Persian search engine for Information Retrieval Course Project Fall-1401
dip-course
Digital Image processing course Fall 1401
image-compression
Image compression using K-means lossy algorithm and JPG lossless algorithm
gaboor-optic
My bachelor's thesis project
anserini
Anserini is a Lucene toolkit for reproducible information retrieval research
Clip2Protect
[CVPR 2023] Official repository of paper titled "CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search".
encoder4editing
Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
Handling-Shared-resources
Embedded and Real-time systems project to handle shared resources with PIP and PNP algorithms and scheduling with DM
pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.