licj15

S3-Router

[NeurIPS 2022] "Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing" by Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin

google-forms-to-slack

Instantly posts your Google Forms responses to a Slack channel

DNN-Chip-Predictor

[ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures

HW-NAS-Bench

[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark

nvdiffrast

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

neuralvolumes

Training and Evaluation Code for Neural Volumes

tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

ShiftAddNAS

[ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks

SuperTickets

[ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

Deblur-NeRF

ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

flash-attention

Fast and memory-efficient exact attention

pulp

This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.

READ

AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

omnidata

A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]

GCoD

[HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design

awesome-NeRF

A curated list of awesome neural radiance fields papers

kilonerf

Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

BNS-GCN

[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

FAI-PEP

Facebook AI Performance Evaluation Platform

planaria.code

vmoe

Robust-Scratch-Ticket

[NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

AttentiveNAS

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

gemmini

Berkeley's Spatial Array Generator

awesome-agi-cocosci

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Double-Win-Quant

[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin

dace

DaCe - Data Centric Parallel Programming