alup

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

Vim

:star: Vim for Visual Studio Code

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

category_encoders

A library of sklearn compatible categorical variable encoders

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

usearch

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

datatrove

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

splade

SPLADE: sparse neural search (SIGIR21, SIGIR22)

quaterion

Blazing fast framework for fine-tuning similarity learning models

mrab-regex

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

sample-apps

Repository of sample applications for https://vespa.ai, the open big data serving engine

amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

sagemaker-custom-project-templates

sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

sagemaker-scikit-learn-container

Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

cloud-ml-examples

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

sagemaker-studio-custom-image-samples

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

chunkdot

Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K most similar items for a large number of items by chunking the item matrix representation (embeddings) and using Numba to accelerate the calculations.

pytorch-starspace

PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes and Jason Weston

sagemaker-feature-store-real-time-recommendations

Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.

shapemaker

An end-to-end template for AWS Sagemaker projects aiming for maximum flexibility