Shubham Krishna's starred repositories
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
build-nanogpt
Video+code lecture on building nanoGPT from scratch
ddia-references
Literature references for “Designing Data-Intensive Applications”
instructor
structured outputs for llms
flask-restplus-boilerplate
A boilerplate for flask restful web service
opencv-course
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
spinningup
An educational resource to help anyone learn deep reinforcement learning.
fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
python-books
My notes on some books I read on Python
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
clean-code
Book review: A Handbook of Agile Software Craftsmanship
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMs-Interview-Prep-Guide
Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.
LLM-Workshop
LLM Workshop by Sourab Mangrulkar
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI