Pinned Repositories
408
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
awesome-python-books
如果有人让你推荐 Python 技术书，请让他看这个列表
CGTN
In order to take notes about something I don't understand...
Coding-interviews
剑指offer的代码实现
Computer-Network
Interview-Notebook-PDF
https://github.com/CyC2018/Interview-Notebook PDF版本离线阅读
scikit-learn
scikit-learn: machine learning in Python
tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
TJJTJJTJJ.github.io
TJJTJJTJJ's Repositories
TJJTJJTJJ/TJJTJJTJJ.github.io
TJJTJJTJJ/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
TJJTJJTJJ/408
TJJTJJTJJ/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
TJJTJJTJJ/CGTN
In order to take notes about something I don't understand...
TJJTJJTJJ/Coding-interviews
剑指offer的代码实现
TJJTJJTJJ/deep_person_reid_frame
In order to understand deep_person_reid
TJJTJJTJJ/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
TJJTJJTJJ/DukeMTMC-reID_evaluation
ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)
TJJTJJTJJ/Englist_ted
TJJTJJTJJ/git_learn
TJJTJJTJJ/Guided-Attention-Inference-Network
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
TJJTJJTJJ/learn
TJJTJJTJJ/learngit
TJJTJJTJJ/leetcode
leetcode
TJJTJJTJJ/leetcodev2
TJJTJJTJJ/mlhub123
给国人的机器学习&深度学习网站资源汇总（Machine Learning Resources）
TJJTJJTJJ/MotionRec
Keras implementation of the paper 'MotionRec:
TJJTJJTJJ/Notes
TJJTJJTJJ/person-reid-transfer-learning
In order to summary some paper about person reid in transfer learning
TJJTJJTJJ/Python-Crash-Course
Python编程 从入门到实践
TJJTJJTJJ/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
TJJTJJTJJ/pytorch-grad-cam
PyTorch implementation of Grad-CAM
TJJTJJTJJ/pytorch__test
In order to lean pytorch
TJJTJJTJJ/pytorch_cycleGAN
Reappearance for pytorch_cycleGAN
TJJTJJTJJ/pytorch_CycleGAN_frame
TJJTJJTJJ/reptilian
TJJTJJTJJ/stargan
Official Implementation of StarGAN - CVPR 2018
TJJTJJTJJ/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
TJJTJJTJJ/vscode-leetcode
Solve LeetCode problems in VS Code