Sundar Sripada V S's starred repositories
openai-cookbook
Examples and guides for using the OpenAI API
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
pytorch_geometric
Graph Neural Network Library for PyTorch
awesome-distributed-systems
A curated list to learn about distributed systems
techniques
Techniques for deep learning with satellite & aerial imagery
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
latexify_py
A library to generate LaTeX expression from Python code.
ML-Papers-Explained
Explanation to key concepts in ML
GPU-Puzzles
Solve puzzles. Learn CUDA.
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
minegrub-theme
A Grub Theme in the style of Minecraft!
Tensor-Puzzles
Solve puzzles. Improve your pytorch.
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
ros-robotics-companies
A list of robotics companies using the Robot Operating System (ROS and ROS 2).
awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).