Abhishek Gautam's repositories
Image-Scene-Desciption-using-embeddings
This notebook demonstates end-to-end process of generating image embeddings from Flickr8k dataset using InceptionV3 and generate captions using LSTM.
AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning
Anime-Recommendation-System-Amime2022-dataset
Anime Recommendation System for websites with EDA
aws-ai-intelligent-document-processing
Intelligent Document Processing with AWS AI Services and generative AI
Complete-Python-Developer-Manual
Class notes for Andrei Neagoie's Complete Python Developer course through Zero to Mastery.
Disease-Prediction-based-on-Symptoms
This project is a demonstration of how machine learning model can be used to predict disease based on patient's symptoms.
Dog-Breed-Identification
A complete end to end solution for a multiclass classification problem of identifying the breed of dogs from the given images.
End-to-End-Heart-Disease-Prediction
An end to end implementation of heart disease prediction based on historical medical data.
End-to-End-SalePrice-prediction-Scikit-Learn
This is an end to end SalePrice prediction of Buldozers, based on Blue Book for Bulldozers dataset on Kaggle
InfoVision
Assignment for InfoVision
Markdown-CheatSheet
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Pneumonia-detection-in-X-ray-images-with-PyTorch-on-Amazon-Sagemaker
An end-to-end Pneumonia detection in chest X-ray images with PyTorch on Amazon Sagemaker
langchain
⚡ Building applications with LLMs through composability ⚡
llm-apps-workshop
Use LLMs for building real-world apps
Medical_Insurance_Anomaly_Fraud_Detection
Prepared code for a use case to demonstrate how AI can help in analysing claims and utilization data to identify anomalies, trends, FW&A.
Semantic-Segmentation-A-MXNet-algorithm-output-comparison-on-Sagemaker
A Semantic Segmentation solution to check how well the MXNet algorithms FCN, PSP, Deeplab perform on same data. The unit of comparison is mIoU.
start-here-guidelines
Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.
streaming-llm
Efficient Streaming Language Models with Attention Sinks