Stars
Python package for graph statistics
A modular graph-based Retrieval-Augmented Generation (RAG) system
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic Modeling Toolkit for Matlab/Octave.
Figures and code examples from Bayesian Analysis with Python (third edition)
A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
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 efficie…
Parallel Hyperparameter Tuning in Python
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
Numba tutorial for GTC 2017 conference
Nvidia contributed CUDA tutorial for Numba
Repository for various Broadcom Bluetooth firmware
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Source code for Twitter's Recommendation Algorithm
Jupyter metapackage for installation, docs and chat
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Fast SHAP value computation for interpreting tree-based models
A game theoretic approach to explain the output of any machine learning model.
Jupyter notebooks for pyspark tutorials given at University
Jupyter notebook and datasets from the pandas video series
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
A complete computer science study plan to become a software engineer.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓