Pinned Repositories
Ad-papers
Papers on Computational Advertising
Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
awesome-models
基于TensorFlow实现模型，包括TF的基础op，loss和feature_column API等等
ClashX-Rule
ClashX的规则文件，国外走代理，国内直连
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
d2l_zh_tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现的部分代码改成tensorflow2.0的实现
Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
DeepInterestNetwork
yongchengtao's Repositories
yongchengtao/Ad-papers
Papers on Computational Advertising
yongchengtao/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
yongchengtao/awesome-models
基于TensorFlow实现模型，包括TF的基础op，loss和feature_column API等等
yongchengtao/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
yongchengtao/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
yongchengtao/d2l_zh_tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现的部分代码改成tensorflow2.0的实现
yongchengtao/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
yongchengtao/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
yongchengtao/DeepInterestNetwork
yongchengtao/deeplearning
深度学习相关的模型训练、评估和预测相关代码
yongchengtao/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
yongchengtao/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
yongchengtao/DeepLearning_LHY21_Notes
深度学习 李宏毅 2021 学习笔记
yongchengtao/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
yongchengtao/easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
yongchengtao/edu-bert
好未来开源教育领域首个在线教学中文预训练模型TAL-EduBERT
yongchengtao/hands-on-ml-2e-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南第二版
yongchengtao/Hands-on-RL
https://hrl.boyuai.com/
yongchengtao/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
yongchengtao/keras-mmoe
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
yongchengtao/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
yongchengtao/leetcode_py
yongchengtao/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
yongchengtao/NeurIPS_Auto_Bidding_AIGB_Track_Baseline
the baseline for NeurIPS_Auto_Bidding_AIGB_Track
yongchengtao/PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
yongchengtao/RecommenderSystem
yongchengtao/spark
Apache Spark - A unified analytics engine for large-scale data processing
yongchengtao/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
yongchengtao/torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
yongchengtao/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow