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agmc

AGMC: Auto Graph encoder-decoder for Model Compression and Network Acceleration

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-llm-compression

Awesome LLM compression research papers and tools.

bitblas

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

bitnet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

compperfworkshop

ALCF Computational Performance Workshop

coms453

deepspeedexamples

Example models using DeepSpeed

dh-api

doctor-hub

federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.

federated-learning-public-code

fedkemf

fedlib

gnn-rl-model-compression

GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

hpc-fair.github.io

Website for HPC FAIR

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

llm-adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

nncf_bootstrapnas

Neural Network Compression Framework for enhanced OpenVINO™ inference

ofm

One Foundation Model Fits All: Single-stage Foundation Model Training with Zero-shot Deployment

prompt-engineering-guide

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

pycls

Codebase for Image Classification Research, written in PyTorch.

raffm

rafl

sdl_ai_workshop

The ALCF hosts a regular simulation, data, and learning workshop to help users scale their data science workflows. This workshop agenda repo focuses on AI capabilities at scale.

spatl

SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning

sudoku

super-mamba

vdms

VDMS: Your Favourite Visual Data Management System