brettin

llm_tutorial

llm_tutorials

DepMap-Experiments

Experiments preparing data for fine-tuning and RAG using DepMap data

Ollama-Examples

Running Ollama examples

polaris_examples

sunspot_examples

Some basic examples to get running on sunspot

vLLM-Examples

70b_llama2_inference_alcf

Running inference using llama-2 70b on sunspot.

ARC

controlled-peptide-generation

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

daos_examples

Some toy examples on using DAOS

dataframes

Tools to manipulate deep learning data frames

environment_transformers

Environments for ThetaGPU, Polaris and Aurora

genslm

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

global_survey

Langchain-Examples

toy examples

LangChain_examples

LangChain examples for AuroraGPT

liquidhandling

Mirror of https://xgitlab.cels.anl.gov/rarvind/liquidhandling

llm-workshop

long-form-factuality

Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

pbsim2

PBSIM2: a simulator for long read sequencers with a novel generative model of quality scores

RAG

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

RayLLM-Examples

This repository contains information on running RayLLM

scalable-transformer

scalable transformer models

sdl-workshop-2024.github.io

Simple_ODE_Examples

TPM_data

transformer_builds

Build scripts for various python environments for various transformer models.

user-guides

ALCF Systems User Documentation

zinc22-examples