Han Guo's repositories
tf-library
A (growing) collection of useful abstractions and implementations for research.
Reading-List
A list of useful resources and paper
alpa
Auto parallelization for large-scale neural networks
e2e-metrics
E2E NLG Challenge Evaluation metrics (Python 3)
experiment-utils
A collection of utility functions for experiments
fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
FedML
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
image-feature-extractors
Feature extraction and visualization scripts for nocaps baselines.
knockknock
🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code
learning-data-manipulation
NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
scikit-learn
scikit-learn: machine learning in Python
tensorflow
An Open Source Machine Learning Framework for Everyone
verified_calibration
Code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).