Language Breakdown
Lines of code distribution across 23 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
34
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
AmirHossein_Razlighi
@amirhossein-razlighi
Andrea Tagliasacchi
@taiya
Arman Zarei
@ArmanZarei
Mahsa Massoud
@mahsamassoud
Ava Pun
@AvaLovelace1
Top Repositories
Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment analysis.
Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs. Perfect for enthusiasts of computer vision, deep learning, and generative modeling! 🌌✨
Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️
Fully automated README.md generator powered by multi-agent CREW AI 🤖 and Llama3-70B 🧠—analyzing project structure 📂 and creating custom README styles ✨!
Upload your fashion images and get detailed labels, such as category, color, and season, predicted by my AI model using an ensemble of CNN architectures.
✨ Dive into image denoising magic! This project uses Attention U-Net and PatchGAN to tackle noise types like low Gaussian and salt-and-pepper noise. Perfect for computer vision, deep learning, and generative modeling enthusiasts. Restore clarity to noisy images with cutting-edge AI! 🚀🎨
A Flask-based celebrity face recognition system using an ensemble model built with TensorFlow to classify images of Iranian celebrities
Dive into the world of Variational Autoencoders (VAEs) with MNIST! 🎨✨ Explore variable latent sizes (2, 4, 16) to see how they affect reconstruction, latent space visualizations, and performance metrics 📊 (MSE, SSIM, PSNR).
A collection of machine learning practices covering decision trees, KNN, stroke prediction, neural networks, DBSCAN clustering, and more
Open Source Impact
Contributions to external projects
