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24h1-sparse-quantized-llm-ov

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

bigcode-evaluation-harness

A framework for the evaluation of autoregressive code generation language models.

bookmarks

https://yujiepan-work.github.io/bookmarks/

dejavu

inference_results_v3.0

This repository contains the results and code for the MLPerf™ Inference v3.0 benchmark.

inference_results_v3.1

This repository contains the results and code for the MLPerf™ Inference v3.1 benchmark.

intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

moebert

This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

openvino

OpenVINO™ Toolkit repository

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

optimum-intel

Accelerate inference of 🤗 Transformers with Intel optimization tools

q-align

③[IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

sd-perf

quick script to profile stable diffusion performance

sparsegpt

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

starcoder

Home of StarCoder: fine-tuning & inference!

torchvision

Datasets, Transforms and Models specific to Computer Vision

toyflow

toytools

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vanillanet

wanda

A simple and effective LLM pruning approach.

who_what_benchmark

yujiepan-work