Karthik Udupa's starred repositories
system-design-resources
These are the best resources for System Design on the Internet
moreThanFAANGM
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
awesome-mlops
A curated list of references for MLOps
List-of-all-Research-Internship-Program-for-IIT-and-NITs
This contains the list of almost all the internship available for Indian college students.
ABigSurvey
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Mask-Language-Model
pytorch； mask language model ； bert
pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
PlotNeuralNet
Latex code for making neural networks diagrams
HenryAILabs-VideoList
A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!
FASSEG-repository
Datasets for multi-class and multi-pose face segmentation
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
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.
jupyter-themes
Custom Jupyter Notebook Themes
ResearchPaperNotes
Initiative to read research papers
microchip-iot-developer-guides-for-aws
Microchip IoT Developer Guides for AWS is a set of tutorials tailored to get started with your IoT Design, from embedded to cloud. Starting with the sandbox, you can play around with sending and receiving data to the cloud with almost no setup.
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.