Pinned Repositories
Distributed-Kafka-Clusters
Distributed-Kafka-Clusters
Evaluation-Metrics-for-Recommendation-Systems
This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate generation, rating, ranking metrics performance on 5 different datasets - MovieLens 100k, MovieLens 1m, MovieLens 10m, Amazon Electronics Dataset and Amazon Movies and TV Dataset.
Hands-on-One-Shot-Learning
This repository is for coding exercises listed in Book Hands on One Shot Learning.
Medium-Articles-Notebooks
Medium Articles Notebooks and Media Files
Regression-Loss-Functions-in-Time-Series-Forecasting-PyTorch
This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion Transformers.
Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
Synthetic-Data-Generation-and-Evaluation-using-Reasoning-Models
This repository contains the implementation of our research on optimizing Retrieval-Augmented Generation (RAG) systems for technical domains. Our work addresses the unique challenges of precise information extraction from complex, domain-specific documents by introducing token-aware evaluation metrics and synthetic data generation pipeline.
Synthetic-Data-Generation-in-Healthcare-Using-Generative-AI
This repository contains the summary of the research papers and book chapters referenced in our research paper - Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
aryan-jadon's Repositories
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-PyTorch
This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion Transformers.
aryan-jadon/Evaluation-Metrics-for-Recommendation-Systems
This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate generation, rating, ranking metrics performance on 5 different datasets - MovieLens 100k, MovieLens 1m, MovieLens 10m, Amazon Electronics Dataset and Amazon Movies and TV Dataset.
aryan-jadon/Medium-Articles-Notebooks
Medium Articles Notebooks and Media Files
aryan-jadon/Synthetic-Data-Generation-in-Healthcare-Using-Generative-AI
This repository contains the summary of the research papers and book chapters referenced in our research paper - Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
aryan-jadon/Synthetic-Data-Generation-and-Evaluation-using-Reasoning-Models
This repository contains the implementation of our research on optimizing Retrieval-Augmented Generation (RAG) systems for technical domains. Our work addresses the unique challenges of precise information extraction from complex, domain-specific documents by introducing token-aware evaluation metrics and synthetic data generation pipeline.
aryan-jadon/Distributed-Kafka-Clusters
Distributed-Kafka-Clusters
aryan-jadon/Duplicate-Bug-Detection-Using-NLP
This repository contains the implementation of our paper "Auto-labelling of Bug Report using Natural Language Processing". Our paper introduces an NLP-based method using bug report attributes, leveraging a neural network for retrieval.
aryan-jadon/Hands-on-One-Shot-Learning
This repository is for coding exercises listed in Book Hands on One Shot Learning.
aryan-jadon/analytical-writing-grader
Analytical Writing Grader grades your GRE AWA/ IELTS/ TOEFL Essay responses with an estimated score.
aryan-jadon/CMPE-258-Sec-49-Deep-Learning
CMPE-258-Sec-49-Deep-Learning
aryan-jadon/CMPE-260-Reinforcement-Learning-Project
CMPE-260-Reinforcement-Learning-Project
aryan-jadon/CMPE-297-Project
CMPE-297-Project
aryan-jadon/Deep-Learning-Deployment
aryan-jadon/Fall-Kings
Fall Kings is developed using Unity Game Engine. Game is using Unity Physics, State Machines and GOAL Oriented programming for behavioural decision making in AI bots players.
aryan-jadon/Generic-Drug-Recommender
Code for Generic Drug Recommendations
aryan-jadon/Mitigating-Bias-in-Generative-Models
Mitigating Bias in Generative Models
aryan-jadon/readers-emotions-predictor
Emotional Reaction Prediction is using hugging face for fictional books analysis. We can use model results to recommend books or articles on the basis of author’s style to readers.
aryan-jadon/Trend-Analyzer
Trend Analyzer is used to find and plot search numbers of keywords in metro cities .