Weiran Yao's Projects
A Comprehensive Benchmark to Evaluate LLMs as Agents
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
PGM final project
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
data upload
A Python-embedded modeling language for convex optimization problems.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
12-752 - Data-Driven Building Energy Management (Fall 2017)
SOTA ReID Methods
Github tutorial
Repository for 10-716 term project
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
Python code for a few approaches at matrix completion.
Multi-Agent Transport Simulation
A small example of how to use MATSim as a library.
Minimal is a Jekyll theme for GitHub Pages
Mini Project A/B for 10-805: Machine Learning for Large Datasets
A research framework for autonomous driving
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
All the Git-it Workshop completers!
PyTorch tutorials demonstrating modern techniques with readable code
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
(MIRROR) Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning