SyedHasnat

ActivationFunctions

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

CNNs-LSTMs-Time-Series

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

Deep-Reinforcement-Learning-With-Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

DeepLearningPyTorch

PyTorch Models and RL

DL-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Papers

Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"

Python-For-Everybody

Code of Basic Python

pythonic-concepts

Only pythonic concepts

SyedHasnat

Config files for my GitHub profile.

SyedHasnat/Papers

Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"

SyedHasnat/CNNs-LSTMs-Time-Series

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

SyedHasnat/Python-For-Everybody

Code of Basic Python

SyedHasnat/SyedHasnat

Config files for my GitHub profile.

SyedHasnat/ActivationFunctions

SyedHasnat/annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

SyedHasnat/Deep-Reinforcement-Learning-With-Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

SyedHasnat/DeepLearningPyTorch

PyTorch Models and RL

SyedHasnat/DL-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

SyedHasnat/Explore-Python-Libraries

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.

SyedHasnat/HomerProject

Design Methodology and EconomicL Analysis of an On-Grid Solar PV System for University Campuse in Kohats

SyedHasnat/OOP-in-Python

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.

SyedHasnat/OOP-in-Python-UET

Object Oriented Programming In Python (oop in python)

SyedHasnat/pythonic-concepts

Only pythonic concepts

SyedHasnat/Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

SyedHasnat/pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

SyedHasnat/py

Repository to store sample python programs for python learning

SyedHasnat/Seminar

Pandas, NumPy, Matplotlib

SyedHasnat/STLF-paper

Contains the code for the paper "Hybrid Multi-channel LSTM-BLSTM cascaded with Modified Split Convolution for Short-Term Load Forecasting"

SyedHasnat/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

SyedHasnat/Time-Series-Forecasting

Data Preprocessing, Data Preparation for Deep Learning Model