Hello-Felix

Hello-Felix's Stars

• huawei-noah/VanillaNet

  Language:Python81256

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12.6k1k

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.4k838

• WenmuZhou/DBNet.pytorch

  A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

  Language:Python956248

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k479

• eastlakeside/awesome-productivity-cn

  绝妙的个人生产力（Awesome Productivity - Chinese version）

  2.7k192

• Linchunhui/Tricks-and-new-ResNet

  Bag of Tricks for Image Classification with Convolutional Neural Networks and a new ResNet

  Language:Python184

• weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks

  experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

  Language:Python714123

• L1aoXingyu/Deep-Learning-Project-Template

  A best practice for deep learning project template architecture.

  Language:Python1.3k293

• lxztju/pytorch_classification

  利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

  Language:Jupyter Notebook1.4k339

• qqwweee/keras-yolo3

  A Keras implementation of YOLOv3 (Tensorflow backend)

  Language:Python7.1k3.4k

• leftthomas/Templates

  Some specific domains' templates, including Android App, Deep Learning and Web.

  Language:CSS25

• harleyszhang/detect_steel_number

  DCIC 钢筋数量AI识别 baseline 0.98+。

  Language:Python6930

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• wannabeOG/Mask-RCNN

  A PyTorch implementation of the architecture of Mask RCNN

  Language:Python992179

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k2.3k

• Hello-Felix/Kaggle_TGS2018_4th_solution

  Kaggle TGS Salt Identification Challenge 2018 4th place code

  Language:Python1

• SeuTao/TGS-Salt-Identification

  TGS Salt Identification

  Language:Python34289