Sang Em Lam's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
A list of AI autonomous agents
Curated list of AI-powered developer tools.
A curated list of references for MLOps
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.
š š§šµš² ššš¹š¹ š¦šš®š°šø š³-š¦šš²š½š š šš¢š½š ššæš®šŗš²šš¼šæšø | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ š“š°š¶š³š¤š¦ š¤š°š„š¦ + 2.5 š©š°š¶š³š“ š°š§ š³š¦š¢š„šŖšÆšØ & š·šŖš„š¦š° š®š¢šµš¦š³šŖš¢šš“
FastAPI Project Example with Docker, Postgres & Redis
Learn how to engineer your end-to-end LLM ecosystem: training, streaming, and inference pipelines | deploy & automate | work in progress...
Introduction to Git and GitHub
An Open-source Toolkit for LLM Development
Collection of useful machine learning codes and snippets (originally intended for my personal use)
The code from the Machine Learning Bookcamp book and a free course based on the book
Interact with your documents using the power of GPT, 100% privately, no data leaks
:octopus: Guides, papers, lecture, and resources for prompt engineering
Python Deep Dive Course - Accompanying Materials
Config files for my GitHub profile.
Efficient Streaming Language Models with Attention Sinks
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
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.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Real-time multi-person tracker using YOLO v5 and deep sort