Experiments with different ML techniques using TensorFlow and Sci-kit-learn in Python

Jupyeter Notebooks that demo Generative AI concepts

Exploring Python-based projects

Deeplearning (pytorch, transformers, GANs, BERT, RNNs)

This Repo collects Notebooks for NLP

Jupyter notebooks for the short course "Building applications with vector databases"

In this notebook, I trained a model which uses embedding technique to categorize BBC news.

Jupyter notebook code for movie recommendations. Created with using OpenAI's text-embedding-3-small model.

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)

This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.

This repo contains my implementaions of notebooks in TensorFlow (not in Trax which is used in the course) of Natural Language Processing Specialization: Course4 (NLP with Attention) by deeplearning.ai on Coursera

Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow

A repository contains Text Classification notebooks using Machine Learning, Deep Learning, Word Embeddings

A notebook that contains a collection of NLP models that automatically score essays

Annotated Notebooks to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.

🎬 Welcome to the MovieLens Recommender! This project harnesses the magic of LSTM and embeddings to make movie recommendations. Dive into Jupyter notebooks and train models to make personalized suggestions.

This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.

This repository contains notebooks on different topics across - linear algebra, image classification, language models etc.

Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI