Forecasting of sales for the Walmart company (From EDA to forecasting + documentation)
We have undertaken an extensive benchmark evaluation of LLMs and conversational bots. Our evaluation involved the collection of 1002 questions encompassing 27 categories, which we refer to as the “Wordsmiths dataset.” These categories include reasoning, logic, facts, coding, bias, language, humor, and more. Each question in the dataset is accompanied by an accurate and verified answer. We meticulously assessed four leading chatbots: ChatGPT, GPT-4, Bard, and Claude, using this dataset.
Persian character-level poetry generation using LSTM (PyTorch)
Sentiment analysis for Persian comments using FastText.
What happens if we encounter a suitable font for our design work but do not know its name? Visual Font Recognition (VFR) systems are used to identify the font typeface in an image. These systems can assist graphic designers in identifying fonts used in images. A VFR system also aids in improving the speed and accuracy of Optical Character Recognition (OCR) systems. In this paper, we introduce the first publicly available datasets in the field of Persian font recognition and employ Convolutional Neural Networks (CNN) to address this problem. The results show that the proposed pipeline obtained 78.0% top-1 accuracy on our new datasets, 89.1% on the IDPL-PFOD dataset, and 94.5% on the KAFD dataset. Furthermore, the average time spent in the entire pipeline for one sample of our proposed datasets is 0.54 and 0.017 seconds for CPU and GPU, respectively. We conclude that CNN methods can be used to recognize Persian fonts without the need for additional pre-processing steps such as feature extraction, binarization, normalization, etc.
Apply different colors to your hair! The next update would be about applying lipstick. The following technologies are used for this project:
The process consists following steps:
Detect Parkinson’s disease just from a wave sketch image. I provied a method by using Few-Shot learning to detect Parkinson based on the proposed dataset in paper.
Search between the objects of an image using YOLO and CLIP. You give a prompt about an object in an image, then the model will cut the region of the detected object based on your prompt.
A recommendation system for images (specifically painted portraits), for Web Mining and Social Networking Course.
Implementation of the Canny Edge Detector algorithm using MATLAB.
Do you want to run CenterNet pre-trained models in Colab without bugs and make predictions? This project is a fixed version of the CenterNet specifically for Google Colab.
A deep learning model for predicting the anxiety level of a person based on the Taylor Manifest Anxiety Scale. This test was published by Taylor, J.A in paper entitled“A personality scale of manifest anxiety (1953).”
Number Guessing Game by using ATMega32, Keypad, and LCD (C, Proteus, Code Vision AVR)
Home Work list:
My Presentation: How to Find Maximal Cliques in a Graph using Python & KNN Classification example using scikit-learn library
Published notes and translated the content while completing this course.
Jami is a simple cross-platform GUI for playing some musical instruments. By using Jami, you can play violin and piano easily on your laptop! Jami now is in the fyne apps list!