Pinned Repositories
abseil-py
Abseil Common Libraries (Python)
AutoSeM
Code and Models for paper "AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. Han Guo, Ramakanth Pasunuru, and Mohit Bansal. NAACL 2019"
expectation-propagation
lq-lora
MultitaskSimplification
Reading-List
A list of useful resources and paper
soft-Q-learning-for-text-generation
tf-library
A (growing) collection of useful abstractions and implementations for research.
fast-influence-functions
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
HanGuo97's Repositories
HanGuo97/lq-lora
HanGuo97/soft-Q-learning-for-text-generation
HanGuo97/MultitaskSimplification
HanGuo97/AutoSeM
Code and Models for paper "AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. Han Guo, Ramakanth Pasunuru, and Mohit Bansal. NAACL 2019"
HanGuo97/tf-library
A (growing) collection of useful abstractions and implementations for research.
HanGuo97/expectation-propagation
HanGuo97/Reading-List
A list of useful resources and paper
HanGuo97/abseil-py
Abseil Common Libraries (Python)
HanGuo97/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
HanGuo97/allennlp
An open-source NLP research library, built on PyTorch.
HanGuo97/alpa
Auto parallelization for large-scale neural networks
HanGuo97/cluster-utils
HanGuo97/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
HanGuo97/comp523-spring2020
HanGuo97/e2e-metrics
E2E NLG Challenge Evaluation metrics (Python 3)
HanGuo97/experiment-utils
A collection of utility functions for experiments
HanGuo97/fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
HanGuo97/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
HanGuo97/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)
HanGuo97/hanguo97.github.io
HanGuo97/hdbscan
A high performance implementation of HDBSCAN clustering.
HanGuo97/image-feature-extractors
Feature extraction and visualization scripts for nocaps baselines.
HanGuo97/knockknock
🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code
HanGuo97/learning-data-manipulation
NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
HanGuo97/models
Models and examples built with TensorFlow
HanGuo97/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
HanGuo97/scikit-learn
scikit-learn: machine learning in Python
HanGuo97/tar-heel-reader--pwa-version
HanGuo97/tensorflow
An Open Source Machine Learning Framework for Everyone
HanGuo97/verified_calibration
Code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).