Cirhuzalain

streamlit

Streamlit — A faster way to build and share data apps.

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

postgres

Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

candle

Minimalist ML framework for Rust

arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

redpanda

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

seastar

High performance server-side application framework

facets

Visualizations for machine learning datasets

gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models.

FasterTransformer

Transformer related optimization, including BERT, GPT

server

MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.

RedPajama-Data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

llm-foundry

LLM training code for Databricks foundation models

Crow

A Fast and Easy to use microframework for the web.

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).

GaLore

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

xai

XAI - An eXplainability toolbox for machine learning

llama2.rs

A fast llama2 decoder in pure Rust.

LOMO

LOMO: LOw-Memory Optimization

next-ai-news

KUtrace

Low-overhead tracing of all Linux kernel-user transitions, for serious performance analysis. Includes kernel patches, loadable module, and post-processing software. Output is HTML/SVG per-CPU-core timeline that you can pan/zoom down to the nanosecond.

serenade

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

marius

Large scale graph learning on a single machine.

MegaMolBART

A deep learning model for small molecule drug discovery and cheminformatics based on SMILES

uncertainty-GNN

Uncertainty Aware Semi-Supervised Learning on Graph Data

CATWalk

CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.