Pinned Repositories
pytorch_geometric
Graph Neural Network Library for PyTorch
Basic-Analysis-of-Feedbacks-using-NLP
This notebook contains a basic analysis of some tagged feedbacks borrowing techniques from NLP. Each feedback can have multiple tags. The goal is to tag a new feedback.
Bayesian_Hyperparameter_tunning
It contains the importance of hyperparameter tuning to extract the best performance out of a machine learning model given the data.
CarND_Advanced_Lane_Finding
Contains files for the Project
CarND_Behavioral_Cloning-
CarND_Project_2
Contains the files from Deep Learning
CIS521
Intro to Artificial Intelligence (Don't steal my code bro!)
COMPETITION
GNN_Repo
Contains reference papers and other info related to Graph Neural Network
Variational_AE_resources
Contains all the sources I have used to build VAE
scigeek72's Repositories
scigeek72/GNN_Repo
Contains reference papers and other info related to Graph Neural Network
scigeek72/CarND_Project_2
Contains the files from Deep Learning
scigeek72/Basic-Analysis-of-Feedbacks-using-NLP
This notebook contains a basic analysis of some tagged feedbacks borrowing techniques from NLP. Each feedback can have multiple tags. The goal is to tag a new feedback.
scigeek72/Bayesian_Hyperparameter_tunning
It contains the importance of hyperparameter tuning to extract the best performance out of a machine learning model given the data.
scigeek72/CarND_Advanced_Lane_Finding
Contains files for the Project
scigeek72/CarND_Behavioral_Cloning-
scigeek72/CIS521
Intro to Artificial Intelligence (Don't steal my code bro!)
scigeek72/COMPETITION
scigeek72/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
scigeek72/machine-learning
Content for Udacity's Machine Learning curriculum
scigeek72/Variational_AE_resources
Contains all the sources I have used to build VAE
scigeek72/Conformal_Prediction
This repo contains the necessary info regarding the Conformal Prediction. It specifically contains references that I am going to use for my project but also contains reference to other more extensive github resources
scigeek72/Diffusion_and_Bayesian_Inference
This repo contains information regarding Diffusion Models and Bayesian Statistics
scigeek72/LLM_fineTuning
Resources on fine tuning LLMs on specific set of data
scigeek72/ML_Resources
scigeek72/MLops_resources
Contains information about MLops resources such as the Stanford course and GokuMahandas's course(highly recommended)
scigeek72/Monitoring-Drift
Contains information and resources about Monitoring Data Drift
scigeek72/myPracticeCodes
This is where I keep all my working codes (optimized or not)
scigeek72/Neural-Net-TroubleShoot
Contains information gathered from different sources about trouble shooting NN training
scigeek72/portfolio
scigeek72/pytorch_geometric
Graph Neural Network Library for PyTorch
scigeek72/Synthetic-Data-Generation-Repo
Contains information (Blog posts, papers and software) about Synthetic Data (mostly Tabular) generation
scigeek72/Tridib_Portfolio
Data Science / Data Analytics Portfolio
scigeek72/ud120-projects
Starter project code for students taking Udacity ud120