Stars
🎦 Extract video hard subtitles and automatically generate corresponding srt files.
Paper List for Contrastive Learning for Natural Language Processing
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
An index of algorithms for learning causality with data
VQVAEs, GumbelSoftmaxes and friends
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
Hands-on tutorial on ML Fairness
NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Repository for few-shot learning machine learning projects
data⎰describe: Pythonic EDA Accelerator for Data Science
Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
Interpoetry: Generating Classical Chinese Poems from Vernacular Chinese.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
2019年知乎看山杯第四名
6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System
1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
The collection of training tricks of binarized neural networks.
Recommender Systems Paperlist that I am interested in