⚡ Building applications with LLMs through composability ⚡

Machine Learning University: Accelerated Computer Vision Class

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Context Manager to profile the forward and backward times of PyTorch's nn.Module

Awesome resources for GPUs

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

Hummingbird compiles trained ML models into tensor computation for faster inference.

Code Repository for The Kaggle Book, Published by Packt Publishing

Fast SHAP value computation for interpreting tree-based models

A toy programming language written in Typescript

A fast PostgreSQL Database Client Library for Python/asyncio.

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

An unsupervised feature selection technique using supervised algorithms such as XGBoost

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

An intuitive approach to creating deep learning models

A developer-friendly library for creating flowcharts and diagrams.

A prompt theme engine for any shell.

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

A youtube-dl fork with additional features and fixes

Best Practices on Recommendation Systems

A high-performance immutable mapping type for Python.

SYSTEM DESIGN IS NOT JUST FOR INTERVIEWS, IT CAN BE HOW YOU MANAGE YOUR LIFE. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consisten…

💯 Curated interview preparation materials for busy engineers

⚡️ Front End interview preparation materials for busy engineers