Pinned Repositories
2025_website
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
InferSent
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
ml-2022
This Course is designed by me.
requests-for-research
A living collection of deep learning problems
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
vidyasagarbhargava's Repositories
vidyasagarbhargava/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
vidyasagarbhargava/test_dte
vidyasagarbhargava/vidyasagarblog
vidyasagarbhargava/Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
vidyasagarbhargava/LearnML
This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube
vidyasagarbhargava/Deep-Learning-Book-Supplementary-Materials
Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
vidyasagarbhargava/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
vidyasagarbhargava/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
vidyasagarbhargava/edu
Educational materials on deep learning by Weights & Biases
vidyasagarbhargava/pyspark-example-project
Example project implementing best practices for PySpark ETL jobs and applications.
vidyasagarbhargava/ml-2022
This Course is designed by me.
vidyasagarbhargava/twitter_data_1
twitter_Data
vidyasagarbhargava/twitter_data
twitter_data for spark
vidyasagarbhargava/pytorch-tutorials
A resource for learning about PyTorch and deep learning.
vidyasagarbhargava/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
vidyasagarbhargava/tashapiro
vidyasagarbhargava/programming-with-data
🐍 Learn Python and Pandas from the ground up
vidyasagarbhargava/storytelling-with-data
Plots from the book "Storytelling with data" implementation using Python and matplotlib
vidyasagarbhargava/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
vidyasagarbhargava/personal-web-browser
vidyasagarbhargava/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
vidyasagarbhargava/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
vidyasagarbhargava/Data-Science-Learning-Material
These are Github repositories for all data science material I feel important. I would update it daily.
vidyasagarbhargava/Machine-Learning
Notes for machine learning
vidyasagarbhargava/gordicaleksa
GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!
vidyasagarbhargava/fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
vidyasagarbhargava/karnikakapoor
vidyasagarbhargava/mlops-demo
vidyasagarbhargava/fastbook
The fastai book, published as Jupyter Notebooks
vidyasagarbhargava/mlai