kuan-wang

kuan-wang's Stars

• zhuchen03/VIBNet

  Compressing Neural Networks using the Variational Information Bottleneck

  Language:Python6412

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python685128

• mit-han-lab/haq

  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

  Language:Python37386

• mit-han-lab/amc

  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

  Language:Python432114

• implus/PytorchInsight

  a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

  Language:Python860123

• kuan-wang/pytorch-mobilenet-v3

  MobileNetV3 in pytorch and ImageNet pretrained models

  Language:Python779188

• HewlettPackard/cacti

  An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

  Language:C++410139

• bayesgroup/variational-dropout-sparsifies-dnn

  Sparse Variational Dropout, ICML 2017

  Language:Jupyter Notebook31045

• wookayin/tensorflow-plot

  📈 TensorFlow + Matplotlib as TF ops

  Language:Python29843

• IntelLabs/distiller

  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

  Language:Jupyter Notebook4.4k800

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.4k1.4k

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k528

• mit-han-lab/amc-models

  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

  Language:Python16627

• enyac-group/single-path-nas

  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

  Language:Python39660

• hardmaru/estool

  Evolution Strategies Tool

  Language:Jupyter Notebook936163

• mit-han-lab/temporal-shift-module

  [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

  Language:Python2.1k417

• msracver/Flow-Guided-Feature-Aggregation

  Flow-Guided Feature Aggregation for Video Object Detection

  Language:Python723190

• cooooorn/Pytorch-XNOR-Net

  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.

  Language:Python8323

• Liam0205/mcmthesis

  LaTeX2e Template designed for MCM/ICM

  Language:TeX18534

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.7k6k

• microsoft/gated-graph-neural-network-samples

  Sample Code for Gated Graph Neural Networks

  Language:Python1k262

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k2k

• DeepVoltaire/AutoAugment

  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

  Language:Jupyter Notebook1.5k199

• hsharma35/dnnweaver2

  Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

  Language:Jupyter Notebook20674

• hsharma35/bitfusion

  Simulator for BitFusion

  Language:Python9321

• microsoft/LQ-Nets

  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

  Language:Python23970

• webpy/webpy

  web.py is a web framework for python that is as simple as it is powerful.

  Language:Python5.9k1.3k

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.2k6.3k

• melodyguan/enas

  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

  Language:Python1.6k390

• IntelRealSense/realsense-ros

  ROS Wrapper for Intel(R) RealSense(TM) Cameras

  Language:Python2.6k1.8k