Pinned Repositories
ACME
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
adaptive_transformer
Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
BERT_multimodal_transformer
BLADER-ICSE2019-Replication-Package
Improving IR-Based Bug Localization with Effective Reformulation of Query using Crowdsourced Data Analytics
compas-analysis
Data and analysis for 'Machine Bias'
CPM-Generate
Chinese Pre-Trained Language Models (CPM-LM) Version-I
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
dongzhou1979's Repositories
dongzhou1979/TextBox
TextBox 2.0 is a text generation library with pre-trained language models
dongzhou1979/zdbloom.github.io
dongzhou1979/pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
dongzhou1979/YunHeHomePage
Yunhe Wang's HomePage
dongzhou1979/HandBrake
HandBrake's main development repository
dongzhou1979/fairlearn
A Python package to assess and improve fairness of machine learning models.
dongzhou1979/fairness-indicators
Tensorflow's Fairness Evaluation and Visualization Toolkit
dongzhou1979/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
dongzhou1979/what-if-tool
Source code/webpage/demos for the What-If Tool
dongzhou1979/ml-fairness-gym
dongzhou1979/Neural_Topic_Models
Implementation of topic models based on neural network approaches.
dongzhou1979/CPM-Generate
Chinese Pre-Trained Language Models (CPM-LM) Version-I
dongzhou1979/Summarization-Papers
Summarization Papers
dongzhou1979/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
dongzhou1979/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
dongzhou1979/NeuralCodeSum
Official implementation of our ACL 2020 paper on Source Code Summarization.
dongzhou1979/adaptive_transformer
Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)
dongzhou1979/rencos
dongzhou1979/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
dongzhou1979/lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
dongzhou1979/specter
SPECTER: Document-level Representation Learning using Citation-informed Transformers
dongzhou1979/scattertext
Beautiful visualizations of how language differs among document types.
dongzhou1979/fanqiang
翻墙-科学上网
dongzhou1979/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
dongzhou1979/STTM
dongzhou1979/Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
dongzhou1979/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
dongzhou1979/BERT_multimodal_transformer
dongzhou1979/Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
dongzhou1979/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley