Chetan Hirapara's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Here I will share lsit of command to use while installing Airflow on Compute Engine - GCP
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
This is Andrew NG Coursera Handwritten Notes.
Retrieval-Augmented Video Generation for Telling a Story
π Awesome list of tools and projects with the awesome LangChain framework
Resources for Multiple Object Tracking (MOT)
List of tools & datasets for anomaly detection on time-series data.
An Automated production pipeline which includes aws infrastructure provisioning using terraform and CI-CD using git-hub actions.
Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city.
Boston house price prediction using Linear regression algo.
Config files for my GitHub profile.
Sample MLOps Workflow: Recognizing Digits with Kubeflow
Face Detection and Alignment using Multi-task Cascaded Convolutional Networks (MTCNN)
This review scraper is using flipkart.com | e-commerce site for scrape product reviews and images uploaded by customers. I have used Flask for api development and BS4 for extracting data from website.
Drag & drop UI to build your customized LLM flow
The testing framework dedicated to ML models, from tabular to LLMs π‘οΈπ§βπ¬
A detailed analysis on hotel bookings, cancellation, bookings from devices, country, time etc.
Fine-Tuning Falcon-7B, LLAMA 2 with QLoRA to create an advanced AI model with a profound understanding of the Indian legal context.
Time Series Analysis of Internation Air Passengers
LLM Finetuning with peft
In this repo I have added simple ML app train and validate the model using flask app. Use docker to run the app in container env.