munaAchyuta

doc_question_answering_using_RAG

document question answering using transformer based model like LLM using RAG

NLPusingBERT

anomaly_detection

anomaly detection on temporal data.

image_classification

Intelligent-Document-Processing

Intelligent Document Processing(IDP) which involves auditing of invoice/receipt document

intrusion_detection

intrusion detection model

jwellery_marketing_campign_using_llm

Jwellery Shopping Assistant using LLM for Marketing Campign Purpose

NLP

My Work on NLP

Agentic_Folw_LLM

Experimentation of GenerativeAI use cases using Agentic Flow & LLM

awesome-document-similarity

A curated list of resources on document similarity measures (papers, tutorials, code, ...)

birch

Document ranking via sentence modeling using BERT

categorical-encoding

A library of sklearn compatible categorical variable encoders

EffectivePyTorch

PyTorch tutorials and best practices.

entity_based_sentiment_analysis

given unstructured discussion data, get main entity of discussion. and find sentiments of those entity.

ERNIE

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

Gather-Tensorflow-Serving

Gathers how to deploy tensorflow models using nginx, hadoop, kafka, flask, gunicorn, socketio, docker swarm, luigi spotify, airflow, celery and so much more!

models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

multi_intent

given a single text, find intents from that. it can be n-number of intents.

NAB

The Numenta Anomaly Benchmark

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

NLP-Models-Tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

nlp-recipes

Natural Language Processing Best Practices & Examples

notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

practice

language or algorithm, best way to use.

python-patterns

A collection of design patterns/idioms in Python

ransome

useful resources for Data Science, NLP, Deep Learning.

sentiment-analysis-practice

objective is better sentiment analysis with small dataset while doing domain adaptation.

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

vaex

Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding