liuquan2049

liuquan2049's Stars

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.1k4.3k

• ShiyuLiang/odin-pytorch

  Principled Detection of Out-of-Distribution Examples in Neural Networks

  Language:Python20136

• cbfinn/rllab

  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

  Language:Python2914

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k606

• SHI-Labs/GFR-DSOD

  Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)

  Language:Python6514

• pathak22/videoseg

  [CVPR 2017] Video motion segmentation and tracking

  Language:Python18230

• pathak22/noreward-rl

  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

  Language:Python1.4k301

• aqibsaeed/Genetic-CNN

  CNN architecture exploration using Genetic Algorithm

  Language:Python21897

• markdtw/awesome-architecture-search

  A curated list of awesome architecture search resources

  1.2k200

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.5k4.5k

• arunmallya/packnet

  Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

  Language:Python23040

• mfigurnov/sact

  Spatially Adaptive Computation Time for Residual Networks

  Language:Python24755

• yonghenglh6/DepthwiseConvolution

  A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

  Language:Cuda525185

• shicai/DenseNet-Caffe

  DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

  357273

• gaohuang/MSDNet

  Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

  Language:Lua46294

• gaohuang/Stochastic_Depth

  Code for "Deep Networks with Stochastic Depth"

  Language:Lua3

• liuzhuang13/DenseNet

  Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

  Language:Lua4.7k1.1k

• dgschwend/zynqnet

  Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"

  Language:HTML743297

• ShichenLiu/CondenseNet

  CondenseNet: Light weighted CNN for mobile devices

  Language:Python694131

• RedditSota/state-of-the-art-result-for-machine-learning-problems

  This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

  8.9k1.3k

• forresti/SqueezeNet

  SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

  2.2k722

• LamHoCN/Depth_conv-for-mobileNet

  Depth_conv for MobileNet

  Language:Cuda305

• Zehaos/MobileNet

  MobileNet build with Tensorflow

  Language:Python1.6k470

• dusty-nv/jetson-inference

  Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

  Language:C++7.9k3k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.3k5.6k

• databricks/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python2k494

• diaoenmao/FPGA-CNN

  FPGA implementation of Cellular Neural Network (CNN)

  Language:Verilog13682

• ztgao/ConvNN_FPGA_Accelerator

  Language:Verilog135

• Caffe-MPI/Caffe-MPI.github.io

  Language:C++12756

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k18.7k