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I'm Laxya, a full-time full-stack Developer 👨‍💻 working remotely since 2015 🚀 . I help Startups deploy machine learning (Text , Vision and audio ) and blockchain solutions.

  • 🌱 I’m currently learning how to optimize large language models and to scale billion parameter machine learning models on CPUs.

  • My latest project is based on real time utility of LLM (LLama 2), TTS( Text to Speech), STT (Speech to Text), and Text to Image .

  • Optimizing the models and delivering real time results have huge potential for end user applications.

  • ❓ Ask me about anything related to Python , LLM ,Transformers , Text to specch , Diffusion models , LORA QLORA , Flash attention.

  • ⚡ Fun fact: I deploy on friday


My Skill Set

Frontend

React Bootstrap CSS3 HTML5 Electron JavaScript TypeScript Illustrator Chart.js Python Python

Backend

C++ JavaScript TypeScript MongoDB Node.js Linux Nginx Python Express.js Git Bash React AWS Django PostgreSQL Flutter GCP Kubernetes pytorch OpenCV Flask PowerShell TensorFlow Docker MySQL

DevOps

AWS GCP Kubernetes Linux Git Bash pytorch

Connect with me


Github Stats






Laxya Agarwal's Projects

compilers icon compilers

📦 Docker image with installed compilers, interpreters and sandbox.

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

cs229 icon cs229

Stanford CS229 (Autumn 2017)

cs229-2 icon cs229-2

Programming solutions for Stanford's CS229 course in Autumn 2018

cs231 icon cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

cs231n icon cs231n

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

cs231n-1 icon cs231n-1

Assignment Solutions for CS231n: Convolutional Neural Networks for Visual Recognition Spring 2019

cs231n-2 icon cs231n-2

Assignment's solutions for Stanford's "CS231n: Convolutional Neural Networks for Visual Recognition". (2019)

cs231n-2019 icon cs231n-2019

Notes and assignment solution to http://cs231n.stanford.edu

cv icon cv

Print-friendly, minimalist CV page

d2l-pytorch icon d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

dall-e icon dall-e

PyTorch package for the discrete VAE used for DALL·E.

darknet icon darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

dash-detr icon dash-detr

A User Interface for DETR built with Dash. 100% Python.

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