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Jayavathsan/README.md

Hi there 👋

  • 🔭 I’m currently working on Machine Learning using various ML libraries and frameworks.

  • 🌱 I’m currently learning Deep Learning

  • I am a google certified TensorFlow Developer

  • From November 2022 I have been exploring and learning a lot in the field of Machine Learning.

  • I have worked on 100+ personal projects in Regression, Classification, Computer Vision, Natural Language Processing and Large Language Models as part of my learning process

  • I have learned and experimented on successful open source models using open source and custom datasets.

  • I have implemented various algorithms on Supervised and Un-supervised learning.

  • I can build, train, evaluate and deploy models with ease.

  • I have deployed Large Language Models in Hugging Face spaces.

  • I am familiar with analysis tools such as WandB, tensorboard

  • My primary Machine Learning Skills include SciKit-Learn, Pandas, NumPy, PyTorch, OpenCV, TensorFlow, HuggingFace, Onnx, Keras

My Skills

Few projects in the above links are yet to be uploaded. Stay connected. I will try and upload them ASAP.

Link to few Large Language Model appications deployed in HugginFace spaces: https://huggingface.co/Jayavathsan

My Projects and Applications
Title Description
LLM apps Apps developed using pretrained Large Language Models
Computer Vision Models and projects on various computer vision models
Algorithms and Rules Implementations of Machine Learning rules and algorithms
Un-Supervised Learning Implementations of Unsupervised Deep Learning algorithms
PyTorch Regression, Classification, GANs, Transfer Learning, NLP and Time series forecasting using PyTorch
Tensorflow Regression, Classification, GANs, Transfer Learning, NLP and Time series forecasting using Tensorflow 2.x
OpenCV Vision based models using OpenCV
HuggingFace Leveraging pretrained models and transormers from Hugging Face

Pinned Loading

  1. MachineLearning-SciKitLearn MachineLearning-SciKitLearn Public

    Using SciKit Learn few Deep Learning Rules and Algorithms are implemented

    Jupyter Notebook 1

  2. UnsupervisedLearning UnsupervisedLearning Public

    Boltzmann Machine and Self Organizing Maps are implemented in this repository

    Jupyter Notebook

  3. PyTorch PyTorch Public

    Projects using PyTorch for Machine Learning.

    Jupyter Notebook