jqliu42
High Performance Computing
University of Science and Technology of ChinaUniversity of Science and Technology of China
jqliu42's Stars
microsoft/nn-Meter
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
marsupialtail/sparsednn
Fast sparse deep learning on CPUs
PKUFlyingPig/Self-learning-Computer-Science
the resources I use to learn computer science in my spare time
zhebinhu/mqrace2019
第五届阿里中间件性能挑战赛复赛第6名代码+比赛总结
talent-plan/tinykv
A course to build distributed key-value service based on TiKV model
wangkaish/ali_race2021_r2_adb
mlimwxxnn/my_mq_code
第二届云原生编程挑战赛: RocketMQ存储系统设计 第4名 我之渺小 队代码
pleasewhy/xv6-book-2020-Chinese
MIT 6.S801 xv6 book 2020版 中文翻译
YulhwaKim/cutlass_tilesparse
CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
thomasWeise/ustcSlides
My LaTeX slides packages.
liu-jianhao/talent-plan
my solution for PingCAP training courses
kkeono2/Channel-Pruning-using-Thinet-LASSO-
ShaohuiLin/SSR
structured sparsity regularization
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
elliothe/CVPR_2019_PNI
pytorch implementation of Parametric Noise Injection for adversarial defense
VITA-Group/triple-wins
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
tipt0p/SparseGatedRNN
mil-ad/snip
Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
ksopyla/pytorch_neural_networks
🔥 Pytorch neural network tutorial. Build: feedforward, convolutional, recurrent/LSTM neural network.
nesl/nlp_adversarial_examples
Implementation code for the paper "Generating Natural Language Adversarial Examples"
ZhaoyangLyu/POPQORN
An Algorithm to Quantify Robustness of Recurrent Neural Networks
tipt0p/SparseBayesianRNN
kartik-joshi/Adversarial-Attack-on-Recurrent-Neural-Network
Implement adversarial arrack on Recurrent Neural network built to perform sentiment analysis with LSTM using TensorFlow
inspire-group/hydra
Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).
justincosentino/robust-sparse-networks
The Search for Sparse, Robustness Neural Networks
puhsu/pruning
Summer practice project
tjmoon0104/Tiny-ImageNet-Classifier
Tiny-ImageNet Classifier using Pytorch
selkerdawy/filter-vs-layer-pruning
doocs/advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
AlumLuther/PruningFilters
Pruning Filters For Efficient ConvNets, PyTorch Implementation.