shub-kris

TensorFlow-Advanced-Segmentation-Models

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

benchmark

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

Master-Computer-Vision-OpenCV3-in-Python-and-Machine-Learning

Master Computer Vision™ OpenCV3 in Python and Machine Learning, published by Packt

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

Grokking the Coding Interview: Patterns for Coding Questions Alternative

data-engineering-zoomcamp

Free Data Engineering course!

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

timmdocs

Documentation for Ross Wightman's timm image model library

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

matplotlib-gallery

Examples of matplotlib codes and plots

DIS

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

sympy

A computer algebra system written in pure Python

awesome-diagramming

A curated collection of diagramming tools used by leading software engineering teams

Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

intro-to-ml-with-kubeflow-examples

[WIP] Examples for the Intro to ML with Kubeflow book

examples

A repository to host extended examples and tutorials

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

cloud-foundation-fabric

End-to-end modular samples and landing zones toolkit for Terraform on GCP.

Grokking-the-Coding-Interview-Patterns-for-Coding-Questions

software-engineering-interview-rampup

My research on Grokking The Coding Interview

a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.