Chaojian Li's starred repositories
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
flash-attention
Fast and memory-efficient exact attention
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
awesome-NeRF
A curated list of awesome neural radiance fields papers
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.
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