Example code from Learning Spark book

Generate CHANGELOG entries out of commit messages using AI/ML techniques

An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

A safe, extensible ORM and Query Builder for Rust

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

A course in reinforcement learning in the wild

Everything you need to know to get the job.

A complete computer science study plan to become a software engineer.

GPT-3: Language Models are Few-Shot Learners

Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

PRML algorithms implemented in Python

Large datasets for conversational AI

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

Compact Bilinear Pooling for PyTorch

A PyTorch implementation of EfficientNet

pytorch implementation

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

BERT models for Japanese text.

Dual LSTM Encoder for Dialog Response Generation

Next Utterance Classification

This repo contains our ACL 2017 paper data and source code

ESIM for Multi-turn Response Selection Task

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Unsupervised text tokenizer for Neural Network-based text generation.

BERT with SentencePiece for Japanese text.

tutorial for deep learning dialogue models