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Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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laksh9950/README.md

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






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  1. Home-survelliance Home-survelliance Public

    Home Survelliance Sytem Using Face recognition

    HTML 6 2

  2. A2 Flights solution A2 Flights solution
    1 
    import os
    2 
    import pandas as pd
    3 
    from sklearn.model_selection import train_test_split, StratifiedKFold
    4 
    from sklearn.metrics import classification_report, confusion_matrix, log_loss, accuracy_score, roc_auc_score
    5 
    import numpy as np
  3. Background-Matting Background-Matting Public

    Forked from senguptaumd/Background-Matting

    Background Matting: The World is Your Green Screen

    Python

  4. Camvid-image-segmentation Camvid-image-segmentation Public

    Used fastai to get state of the art results on CamVid datasets

    Jupyter Notebook

  5. IIIT-oxford-pets-dataset IIIT-oxford-pets-dataset Public

    achieve State of the Art accuracy on IIIT oxford pet dataset

    Jupyter Notebook 1