astonzhang / KDD19-tutorialLinks
KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
☆62Updated 2 years ago
Alternatives and similar repositories for KDD19-tutorial
Users that are interested in KDD19-tutorial are comparing it to the libraries listed below
Sorting:
- KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon☆171Updated 6 years ago
- ☆27Updated 6 years ago
- Sentiment analysis with variable length sequences in pytorch☆34Updated 5 years ago
- Multithreading inference in Tensorflow Estimators. This is a ServiceNow Research project that was started at Element AI.☆57Updated 3 years ago
- KDD 2019 hands-on tutorial☆71Updated 5 years ago
- Hands-on workshop☆38Updated 6 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 4 years ago
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"☆42Updated 7 years ago
- DeepSearchRelevanceRanking-KDD2022-Tutorial☆15Updated 2 years ago
- A simple version of DeepRank & MatchPyramid implemented in PyTorch.☆35Updated 4 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- ☆31Updated 6 years ago
- Code repo for "Transformer on a Diet" paper☆31Updated 5 years ago
- 7th place solution to the Gendered Pronoun Resolution competition https://www.kaggle.com/c/gendered-pronoun-resolution/overview☆24Updated 6 years ago
- Collection of TensorFlow Examples☆37Updated 6 years ago
- Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.☆40Updated 2 years ago
- Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM☆225Updated 5 years ago
- How to calibrate your neural network classifier: Getting accurate probabilities from a classification model☆53Updated 4 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 7 years ago
- Getting started with AllenNLP and PyTorch by training a tweet classifier☆66Updated 7 years ago
- LectureBank Dataset☆134Updated last year
- Experiments on how to use machine learning to rank a product catalog☆83Updated 8 years ago
- Code for my blog post☆49Updated 6 years ago
- Ranking made easy☆36Updated 6 years ago
- Efficiency/Effectiveness Trade-offs in Learning to Rank☆12Updated 6 years ago
- Large Scale BERT Distillation☆32Updated 2 years ago
- This is a list of open-source projects at Microsoft Research NLP Group☆110Updated 4 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆14Updated 8 years ago
- ☆27Updated 3 years ago