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amoshua's Projects

leetcode icon leetcode

:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)

ml-visuals icon ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models icon models

Models and examples built with TensorFlow

msmarco icon msmarco

Machine Comprehension train on MSMARCO with S-NET extraction modification

nd101 icon nd101

记录自己深度学习之路的点滴

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

pointer-generator icon pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

potara icon potara

Multi-document summarization tool relying on ILP and sentence fusion

pubmedqa icon pubmedqa

PubMedQA: A Dataset for Biomedical Research Question Answering

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-openai-transformer-lm icon pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-bert icon pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-rl icon pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

rc-data icon rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

rcpapers icon rcpapers

Must-read papers on Machine Reading Comprehension

rczoo icon rczoo

question answering, reading comprehension toolkit

rl4nlp icon rl4nlp

Reinforcement learning for natural language processing reading group

sha-rnn icon sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

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