sanshibayuan

AlgorithmsByPython

算法/数据结构/Python/剑指offer/机器学习/leetcode

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

keras-applications

Reference implementations of popular deep learning models.

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" arxiv:1810.02912

NBSVM

NBSVM For Text Classification

Sohu-2018-4th-place-solution

2018搜狐内容识别算法大赛-解决方案（4th）

sanshibayuan/Sohu-2018-4th-place-solution

2018搜狐内容识别算法大赛-解决方案（4th）

sanshibayuan/NBSVM

NBSVM For Text Classification

sanshibayuan/MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" arxiv:1810.02912

sanshibayuan/AlgorithmsByPython

算法/数据结构/Python/剑指offer/机器学习/leetcode

sanshibayuan/CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

sanshibayuan/chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

sanshibayuan/DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

sanshibayuan/DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

sanshibayuan/five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

sanshibayuan/keras-applications

Reference implementations of popular deep learning models.

sanshibayuan/keras-retinanet

Keras implementation of RetinaNet object detection.

sanshibayuan/MMN

[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

sanshibayuan/multiagent-particle-envs

sanshibayuan/multiagent_rl

Multi-Agent Reinforcement Learning with Particle Env. (on going)

sanshibayuan/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

sanshibayuan/one_dairy_export

一本日记导出

sanshibayuan/python-cheatsheet

Comprehensive Python Cheatsheet

sanshibayuan/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

sanshibayuan/sanshibayuan.github.io

my blog

sanshibayuan/Semantic_Human_Matting

Semantic Human Matting

sanshibayuan/TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

sanshibayuan/ttfnet