gohsyi Goto Github PK
Name: Hongyi Guo
Type: User
Company: Northwestern University
Bio: Ph.D. at Northwestern University.
Location: Evanston
Name: Hongyi Guo
Type: User
Company: Northwestern University
Bio: Ph.D. at Northwestern University.
Location: Evanston
2019 MCM Problem B
Robust recipes to align language models with human and AI preferences
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Automatically arrange literature
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud Resource Allocation and Power Management using Deep Reinforcement Learning" and achieve a good trade-off between power usage and job latency.
an implementation of CommNet
Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736
Co-training for Policy Learning
Homework of SJTU CS214: algorithm and complexity, advised by Prof. Xiaofeng Gao. All assignments are above A level.
Course project of SJTU CS356: Operating System, advised by Prof. Fan Wu. Got 100 points.
CCF计算机软件能力认证往年真题
DS2017 coursework, deque and map
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
Course project for SJTU CS385: Machine Learning, advised by Prof. Quanshi Zhang, where I implemented many algorithms from scratch for face recognization and detection.
course repo for IV-J
Course project for SJTU CS385: Machine Learning, advised by Prof. Quanshi Zhang, where I compared SegNet and FCN on image segmentation task with VOC2012 dataset.
Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
Looking for words? Try me.
Exercises from coursera
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
An OpenAI gym environment to evaluate the ability of LLMs (eg. GPT-4, Claude) in long-horizon reasoning and task planning in dynamic multi-agent settings.
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Learning with Noisy Labels by adopting a peer prediction loss function.
Beta code release for Python Multi-Agent Reinforcement Learning framework
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.