Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
AlgoCasts
algorithms-sedgewick-wayne
Solutions to the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne
AlphaTree-graphic-deep-neural-network
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
Anonymisation-Interface
Interface orchestrating Anonymisation and Registry Interface components
ARS
An implementation of the Augmented Random Search algorithm
awesome-deep-rl
For deep RL and the future of AI.
awesome-model-based-reinforcement-learning
A curated list of awesome Model-based reinforcement learning resources
zhaoyang626's Repositories
zhaoyang626/AlphaTree-graphic-deep-neural-network
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
zhaoyang626/federated_adaptation
Salvaging Federated Learning by Local Adaptation
zhaoyang626/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
zhaoyang626/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
zhaoyang626/awesome-deep-rl
For deep RL and the future of AI.
zhaoyang626/Blockchain
Blockchain Projects
zhaoyang626/dataflowr
code for deep learning courses
zhaoyang626/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
zhaoyang626/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
zhaoyang626/deeplearning-models
A collection of various deep learning architectures, models, and tips
zhaoyang626/DLMA
The is a research project I am working on :)
zhaoyang626/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
zhaoyang626/FLDRL-in-Wireless-Communication
Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication
zhaoyang626/komodo
Komodo
zhaoyang626/LearningChain
zhaoyang626/minifabric
Stand up fabric network on a single machine
zhaoyang626/models
Models and examples built with TensorFlow
zhaoyang626/OpenCourseCatalog
Bilibili 公开课目录
zhaoyang626/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
zhaoyang626/PrivacyFL
zhaoyang626/private_gaussian_process_bandits
Accompanying code for the paper "No-Regret Algorithms for Private Gaussian Process Bandit Optimization"
zhaoyang626/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
zhaoyang626/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
zhaoyang626/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
zhaoyang626/shap
A game theoretic approach to explain the output of any machine learning model.
zhaoyang626/simplicial-fl
Simplicial-FL to manage client device heterogeneity in Federated Learning
zhaoyang626/TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
zhaoyang626/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
zhaoyang626/tf-encrypted
A Framework for Confidential Machine Learning with Encrypted Data
zhaoyang626/WSR-maximization-for-RIS-system
This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.