Pinned Repositories
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
CCF-Recommended-Catalog-2019
**计算机学会(CCF)推荐国际学术会议和期刊目录 2019
Citynet-phase1
Conda-autoactivate-env
Add autoactivate functionality on Conda. (Only Unix-based OS)
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
RL-based-sdn-scheduling
SDN-Controller-Placement
sdn-simulator
VictoriaWong's Repositories
VictoriaWong/SDN-Controller-Placement
VictoriaWong/RL-based-sdn-scheduling
VictoriaWong/sdn-simulator
VictoriaWong/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
VictoriaWong/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
VictoriaWong/CCF-Recommended-Catalog-2019
**计算机学会(CCF)推荐国际学术会议和期刊目录 2019
VictoriaWong/Citynet-phase1
VictoriaWong/Conda-autoactivate-env
Add autoactivate functionality on Conda. (Only Unix-based OS)
VictoriaWong/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
VictoriaWong/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
VictoriaWong/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
VictoriaWong/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
VictoriaWong/NeoRL
This is a mirror of https://agit.ai/Polixir/NeoRL.git
VictoriaWong/Transfer-Learning-Toolkit
Transfer Learning Toolkit for Primary Researchers
VictoriaWong/mooc-machine-learning-weather-climate
VictoriaWong/sklearn_tutorial
Materials for my scikit-learn tutorial
VictoriaWong/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.