Python AST read/write

unit test generator for Python

Aligning pretrained language models with instruction data generated by themselves.

Code and documentation to train Stanford's Alpaca models, and generate the data.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion

A Tensorflow 2.0 implementation of TabNet.

Keras implementation of GRU4Rec session-based recommender system

Official repository of the AAAI'2022 paper "GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection"

Software to Manipulate Different Flavors of Semantic Graphs

A python library that makes AMR parsing, generation and visualization simple.

Sequence-to-sequence models for AMR parsing and generation

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Neural Semantic Graph Parser

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.

This repository summarizes techniques for KL divergence vanishing problem.

Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction (COIN2019)

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

A game theoretic approach to explain the output of any machine learning model.

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"