libertatis
『问答系统(QA) = 信息检索(IR) + 阅读理解(RC)』 让机器精通人类的自然语言！我爱志方小姐世无双~
South China University of TechnologyGuangzhou China
Pinned Repositories
act-tensorflow
Adaptive Computation Time algorithm in Tensorflow
All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
allennlp
An open-source NLP research library, built on PyTorch.
alternating-reader-tf
Iterative Alternating Neural Attention for Machine Reading in Tensorflow
AoAReader
PyTorch implementation of Attention-over-Attention Neural Networks for Reading Comprehension
Artificial-Intelligence-Terminology
The English-Chinese paired terminologies in Artificial Intelligence Domain
attention-over-attention
Tensorflow implementation of Attention-over-Attention Neural Networks for Reading Comprehension
attention-sum-reader
Implementation of the attention-sum reader using tensorflow and keras.
attentive-reader-tensorflow
in progress
mrc-cbt
ASReader - machine reading comprehension on cbt datasets
libertatis's Repositories
libertatis/GNN-algorithms
图神经网络相关算法详述及实现
libertatis/MRC-based-Chinese-Opinion-Target-Extraction
Implementation of Chinese Opinion Target Extraction based on Extractive MRC framework
libertatis/awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
libertatis/benchmarking-gnns
Repository for benchmarking graph neural networks
libertatis/byterun
A Python implementation of a Python bytecode runner
libertatis/DeepLearningSystem
Deep Learning System core principles introduction.
libertatis/fairscale
PyTorch extensions for high performance and large scale training.
libertatis/FreeLB
Adversarial Training for Natural Language Understanding
libertatis/GraphGallery
GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.
libertatis/libertatis
libertatis/machine-reading-comprehension-datasets
Machine Reading Comprehension Datasets collections (2013 - 2019?)
libertatis/MatrixSlow
A simple deep learning framework in pure python for purpose of learning in DL
libertatis/mc_gradients
libertatis/mkdocs-material
Documentation that simply works
libertatis/MRQA-Shared-Task-2019
Resources for the MRQA 2019 Shared Task
libertatis/nlpaug
Data augmentation for NLP
libertatis/openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
libertatis/OpenPrompt
An Open-Source Framework for Prompt-Learning.
libertatis/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
libertatis/PaddleNLP
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
libertatis/PaddleNLP-Learning
libertatis/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
libertatis/PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
libertatis/paper-reading
深度学习经典、新论文逐段精读
libertatis/PARL
A high-performance distributed training framework for Reinforcement Learning
libertatis/qianyan
千言数据集竞赛
libertatis/Regex
An implementation of regular expressions for Python that uses a finite state automaton（正则引擎的Python实现，包括从NFA到DFA和DFA的最小化）
libertatis/Research
novel deep learning research works with PaddlePaddle
libertatis/vdp
💧 Versatile Data Pipeline (VDP) is an open-source tool to seamlessly integrate AI for unstructured data into the modern data stack
libertatis/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch