Pinned Repositories
Auto-NBA
[ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin
CPT
[ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
DepthShrinker
[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
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
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
Adjustable-Quantization-MicroNet
[MicroNet Challenge (NeurIPS 2019 )] "Adjustable Quantization: Jointly Learn the Bit-width and Weight in DNN Training" by Yonggan Fu, Ruiyang Zhao, Yue Wang, Chaojian Li, Haoran You, Zhangyang Wang, Yingyan Lin
OMG_DAE
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
TILMTO
AGD
[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
tilmto's Repositories
tilmto/Adjustable-Quantization-MicroNet
[MicroNet Challenge (NeurIPS 2019 )] "Adjustable Quantization: Jointly Learn the Bit-width and Weight in DNN Training" by Yonggan Fu, Ruiyang Zhao, Yue Wang, Chaojian Li, Haoran You, Zhangyang Wang, Yingyan Lin
tilmto/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
tilmto/AGD
[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
tilmto/autoai2c
tilmto/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
tilmto/awesome-emdl
Embedded and mobile deep learning research resources
tilmto/BasicSR
Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.
tilmto/bitfusion
Simulator for BitFusion
tilmto/convNet.pytorch
ConvNet training using pytorch
tilmto/darts
Differentiable architecture search for convolutional and recurrent networks
tilmto/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
tilmto/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
tilmto/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
tilmto/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
tilmto/image-to-image-papers
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
tilmto/lab
A customisable 3D platform for agent-based AI research
tilmto/lang-seg
Language-Driven Semantic Segmentation
tilmto/mobile-vision
Mobile vision models and code
tilmto/mushroom-rl
Python library for Reinforcement Learning.
tilmto/NAS-Bench-201
NAS-Bench-201 API and Instruction
tilmto/nni
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
tilmto/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
tilmto/pytorch-cifar
95.16% on CIFAR10 with PyTorch
tilmto/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
tilmto/QANAS_alibaba
tilmto/ShiftAdd
tilmto/SmoothDARTS
Code for our paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
tilmto/SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
tilmto/swa
Stochastic Weight Averaging in PyTorch
tilmto/vision
Datasets, Transforms and Models specific to Computer Vision