aramachandran2000 Goto Github PK

ajit_ethernet

Networking for the AJIT Processor

ant-quantization

aramachandran2000.github.io

asvd4llm

Activation-aware Singular Value Decomposition for Compressing Large Language Models

auto-round

SOTA Weight-only Quantization Algorithm for LLMs

billm

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

cap

Repository for Correlation Aware Prune (NeurIPS23) source and experimental code

clusterq

codir

Code for EMNLP 2020 paper CoDIR

condensa

Programmable Neural Network Compression

contrastivepruning

Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》

crcd

Complementary Relation Contrastive Distillation

diode

Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.

disastermanagement

An application that can perform online disaster assessment

eie-accelerator-simulator

Reimplementation of paper EIE by Stanford Song Han

ethernet-fmc-processorless

Example designs for using Ethernet FMC without a processor (ie. state machine based)

evol-q

Quantization in the Jagged Loss Landscape of Vision Transformers

fracbits

Neural Network Quantization With Fractional Bit-widths

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

gptvq

hast

iccv_2021_afp

AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.

int-fp-qsim

Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

legr

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"

logarithmic-quantization-of-parameters-in-neural-networks

Logarithmic quantization with decimal exponents

logarithmicposit

matchlib

SystemC/C++ library of commonly-used hardware functions and components for HLS.

mindmappings

A reference implementation of the Mind Mappings Framework.

ml_segmentation

Machine learning semantic segmentation - Random Forest, SVM, GBC