lawrence1999

lawrence1999's Stars

• wzy6642/Machine-Learning-in-Action-Python3

  《机器学习实战》的python3源码

  Language:HTML1.3k472

• WenDesi/lihang_book_algorithm

  致力于将李航博士《统计学习方法》一书中所有算法实现一遍

  Language:Python5.7k2k

• pbharrin/machinelearninginaction

  Source Code for the book: Machine Learning in Action published by Manning

  Language:HTML2.4k1.8k

• Thinkgamer/Machine-Learning-With-Python

  此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

  Language:TSQL704392

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k1.1k

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python9.3k5.1k

• gurkirt/FPN.pytorch1.0

  Feature pyramid network (FPN) with online hard example mining (OHEM)

  Language:Python6619

• manutdzou/py-faster-rcnn-OHEM

  faster rcnn Online hard example mining

  Language:Jupyter Notebook1715

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k5.4k

• QianJingjingZJU/vehicleReID-pytorch

  Language:Python133

• CaptainEven/FaceRecognition

  Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目，提供一个小型数据集用作验证，使用三元组损失函数(Triplet loss)提升准确率和泛化能力，对FaceNet进行了一种实现。

  Language:Python12838

• huanghoujing/person-reid-triplet-loss-baseline

  Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

  Language:Python486128

• avilash/pytorch-siamese-triplet

  One-Shot Learning with Triplet CNNs in Pytorch

  Language:Python9221

• gary1346aa/Fast-RCNN-Object-Detection-Pytorch

  Language:Python6217

• VectXmy/FasterRCNN.Pytorch

  very simple faster r-cnn implementation in pytorch1.x

  Language:Python4

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.3k4.8k

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.4k1.9k

• rbgirshick/py-faster-rcnn

  Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

  Language:Python8.2k4.1k

• IsWdZh/faster_rcnn_pytorch

  Paper Recurrent, Faster_RCNN implementation by pytorch1.0

  Language:Python71

• liuyuemaicha/simple_faster_rcnn

  run this repository only depend python2.7 and Pytorch (0.3 or 0.4)

  Language:Python11138

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• roytseng-tw/Detectron.pytorch

  A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

  Language:Python2.8k542

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• longcw/faster_rcnn_pytorch

  Faster RCNN with PyTorch

  Language:Python1.7k465

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.6k2.8k