shivmgg

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

PipeCNN

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

ToMe

A method to increase the speed and lower the memory footprint of existing vision transformers.

awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

AIChip_Paper_List

vmoe

Vitis-AI-Tutorials

DeltaPapers

Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.

DejaVu

fly

tapa

TAPA is a dataflow HLS framework that features fast compilation, expressive programming model and generates high-frequency FPGA accelerators.

nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

microxcaling

PyTorch emulation library for Microscaling (MX)-compatible data formats

logicnets

EcoFormer

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"

mlir-cgra

An MLIR dialect to enable the efficient acceleration of ML model on CGRAs.

sparsity-in-deep-learning

Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests

lisa

A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.

micro22-sparseloop-artifact

MICRO22 artifact evaluation for Sparseloop

Structure-LTH

[ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang.

Lifelong-Learning-LTH

[ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang

ACDC

Code for reproducing "AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks" (NeurIPS 2021)

tapa

TAPA is a dataflow HLS framework that features fast compilation, expressive programming model and generates high-frequency FPGA accelerators. [See https://github.com/UCLA-VAST/tapa for issues & pull requests]

PRE-DFKD

Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"

Progressive-Pruning

Official pytorch code for "APP: Anytime Progressive Pruning" (DyNN @ ICML, 2022; CLL @ ACML, 2022, SNN @ ICML, 2022 and SlowDNN 2023)

Connector

hydra

JetsonPower

Framework for energy monitoring and measurement on NVIDIA Jetson boards