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Hello - Namaste - Welcome to my profile!

I'm Ananya, a 24 year old data focused engineer/astrophysicist from India 🇮🇳

📖 A machine learning academic who also enjoys frontend development.

🪈 Researching data processing techniques and deep learning integrations within astronomy - 🎧 Casual tryhard - ✨ Star enthusiast


Ananya Bhatnagar's Projects

anticheat icon anticheat

An anti-cheat system developed for CS:GO showcasing the capabilities of deep anomaly detection models on pseudo time-series data. Includes thorough data exploration and training scripts. In development.

astroquery icon astroquery

Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

bananya-ml icon bananya-ml

A repository for customizing the public profile.

bert-model icon bert-model

An NLP project involving BERT and text classification. Includes a Jupyter notebook describing the process of attaching a head to an existing SOTA model for fine-tuning an already capable task to a relevant task. Possibly outdated.

bitgpt icon bitgpt

BitGPT: A 1-bit version of the GPT Language model, inspired from Andrej Karpthay's tutorial on building a GPT from scratch. In development.

deepod icon deepod

Deep learning-based outlier/anomaly detection

gemini-apps icon gemini-apps

A small collection of useful NLP tasks that can be automated via free API calls to Google's open-source Gemma model. The limited max output is virtually the only drawback. Archived since API calls to Gemini are no longer free outside of Google's sandbox.

local-rag icon local-rag

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

portfolio icon portfolio

A portfolio app, created using Tailwind CSS, JavaScript and HTML.

sagemaker icon sagemaker

Semantic Segmentation using Amazon Sagemaker. Archived.

stellarmapper icon stellarmapper

A library of implemented cherry-picked, cutting-edge, deep neural networks (usually presented in reputable conferences), created for ease of usage on various applications. In development.

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