CreeperLin
2020 phd student @SJTU; member of SJTU ACM Class and APEX lab;
Shanghai Jiao Tong UniversityShanghai
CreeperLin's Stars
tensorflow/models
Models and examples built with TensorFlow
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
sxei/chrome-plugin-demo
《Chrome插件开发全攻略》配套完整Demo,欢迎clone体验
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
cybertronai/gradient-checkpointing
Make huge neural nets fit in memory
ondyari/FaceForensics
Github of the FaceForensics dataset
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
thunlp/OpenNE
An Open-Source Package for Network Embedding (NE)
rwightman/gen-efficientnet-pytorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
xiaohanyu/awesome-tikz
A curated list of awesome TikZ documentations, libraries and resources
BangguWu/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
lhelontra/tensorflow-on-arm
TensorFlow for Arm
rixwew/pytorch-fm
Factorization Machine models in PyTorch
implus/PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
google-research/nasbench
NASBench: A Neural Architecture Search Dataset and Benchmark
facebookresearch/OctConv
Code for paper
davidcpage/cifar10-fast
hungtuchen/pytorch-dqn
Deep Q-Learning Network in pytorch (not actively maintained)
wmayner/pyphi
A toolbox for integrated information theory.
d-li14/octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
twtygqyy/pytorch-LapSRN
Pytorch implementation for LapSRN (CVPR2017)
QUVA-Lab/artemis
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
susan0199/StacNAS
xueshengke/IFNNSR
This is the implementation of paper "Xue, S., et al., Faster Image Super-Resolution by Improved Frequency Domain Neural Networks. Signal, Image and Video Processing, submitted, 2019."
Ericonaldo/Softlearning
This SAC code is modified upon https://github.com/rail-berkeley/softlearning, where we drop the ray-based training style to a easy-reading run on a single process. Expert performances are run using this code.
xueshengke/FNNSR
This is the implementation of paper "Li, J., et al., A Frequency Domain Neural Network for Fast Image Super-resolution. International Joint Conference on Neural Networks (IJCNN), 2018."
ultmaster/nasbench
NASBench: A Neural Architecture Search Dataset and Benchmark