Vidyasagar Bhargava's Projects
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
List of all the lessons learned, best practices, and links from my time studying machine learning
Following along with: Machine Learning Recipes with Josh Gordon
Learn how to responsibly develop, deploy and maintain production machine learning applications.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
This Course is designed by me.
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
Models and examples built with TensorFlow
NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
Jupyter notebooks for the Natural Language Processing with Transformers book
GitHub scraper and source code for a dashboard showing the Open Science MOOC's repository statistics and user activities
Practical Python Programming (course by @dabeaz)
🐍 Learn Python and Pandas from the ground up
Example project implementing best practices for PySpark ETL jobs and applications.
Some fun and useful projects with Python
Cool Python features for machine learning that I used to be too afraid to use
Code files for Python-Machine-Learning-Cookbook
Best books for python
Guide for brushing up python for data science
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning (with PyTorch)