Name: Syed Muhammad Hasanat
Type: User
Company: University Of Engineering and Technology Peshawar, Pakistan
Bio: Electrical Engineer | Forecasting | Deep Learning | Reinforcement Learning | Matlab
Location: Pakistan
Syed Muhammad Hasanat's Projects
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for Time Series Forecasting?? 4) How to Load and Explore Household Energy Usage Data?? 5) How to Develop CNNs for Multi-step Energy Usage Forecasting?? 6) How to Develop LSTMs for Multi-step Energy Usage Forecasting
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
In this Repository I have tried my best to explore the libraries up to a great extent. I have tried my best to make my code simple and easy for understanding.
Design Methodology and EconomicL Analysis of an On-Grid Solar PV System for University Campuse in Kohats
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
Object Oriented Programming In Python (oop in python)
Jupyter notebook and datasets from the pandas Q&A video series
Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"
Repository to store sample python programs for python learning
Code of Basic Python
Only pythonic concepts
Pandas, NumPy, Matplotlib
Config files for my GitHub profile.
TensorFlow Tutorials with YouTube Videos
Data Preprocessing, Data Preparation for Deep Learning Model