Collections of awesome neovim plugins.

Writing an OS in Rust

Data augmentation for NLP

A curated list of awesome parallel computing resources

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

LLM inference in C/C++

Infrastructures™ for Machine Learning Training/Inference in Production.

The book "Performance Analysis and Tuning on Modern CPU"

🧮 Bayesian networks in Python

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.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Automatic architecture search and hyperparameter optimization for PyTorch

A curated list of gradient boosting research papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.

A benchmark to compare algorithms for estimating cumulative density functions (CDF) on streaming data

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

📚 Freely available programming books

Statistical Machine Intelligence & Learning Engine

Distributed Deep learning with Keras & Spark