Amit Kumar Gope's repositories
aeon
A toolkit for conducting machine learning tasks with time series data
AppliedDeepLearning
This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models.
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
conformalized-gnn
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
courses-introduction-to-python
Introduction to Python by Filip Schouwenaars
data-resources-for-materials-science
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
Deep-Neural-Networks-For-Clogging-Detection
Use Of Deep Neural Networks For Clogging Detection In The Submerged Entry Nozzle Of The Continuous Casting
EasyTSAD
A framework for easy running and evaluating your TSAD algorithm.
keras-yolo3
Training and Detecting Objects with YOLO3
Large-Language-Models
Large language Models (LLM)
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
project-based-learning
Curated list of project-based tutorials
python-time-series-handbook
Notebooks for the course "Time series analysis with Python"
remote-jobs
A project for collecting remote jobs, updated daily 👩💻
short-term-energy-demand-forecasting
Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
sktime
A unified framework for machine learning with time series
tensorflow-certification-study-guide
Material and code samples used to help study for and pass the TensorFlow Developer Certification
the-art-of-command-line
Master the command line, in one page
UniTS-Learning
A unified time series model.
Unsupervised_Anomaly_Detection
A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.
USTGCN
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
youtube-tutorials
A collection of the code I have written for my YouTube tutorials.