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aihwkit

IBM Analog Hardware Acceleration Kit

assignment1_template

assignment4

machine learning hardware

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-quantization

Awesome Quantization Paper lists with Codes

awesome-quantization-papers

List of papers related to neural network quantization in recent AI conferences and journals.

bert-pytorch

Google AI 2018 BERT pytorch implementation

bibert

This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

dnn_neurosim_v1.4

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

dnn_neurosim_v2.1

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

efficient-llms-survey

Efficient Large Language Models: A Survey

lsqplus

LSQ+ or LSQplus

mics6000l

mnsim-2.0

A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

pocket-glue

这里是用torch写的简洁版的GLUE评测代码。This is the simpler code written by torch in GLUE.

project03

CS205_Project

project04

Project4

project05

A Simple Matrix Library based C++

rics_v

transfomers-silicon-research

Research and Materials on Hardware implementation of Transformer Model

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

verilog-

wangc0812.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes