Pinned Repositories
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
Agriculture_KnowledgeGraph
农业知识图谱(KG):农业领域的信息检索,命名实体识别,关系抽取,分类树构建,数据挖掘
AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
allennlp
An open-source NLP research library, built on PyTorch.
MT_chatbot
chatbot based on multi-task
Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
README
README文件语法解读,即Github Flavored Markdown语法介绍
Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
zhangxuemiao's Repositories
zhangxuemiao/seq2seq-1
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
zhangxuemiao/OpenTransformer
A No-Recurrence Sequence-to-Sequence Model for Speech Recognition
zhangxuemiao/ERNIE-Pytorch
ERNIE Pytorch Version
zhangxuemiao/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
zhangxuemiao/spacy-models
💫 Models for the spaCy Natural Language Processing (NLP) library
zhangxuemiao/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
zhangxuemiao/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
zhangxuemiao/Question-Generation-Paper-List
A summary of must-read papers for Neural Question Generation (NQG)
zhangxuemiao/transformer-xl-chinese
transformer xl在中文文本生成上的尝试(效果意外的好,可写小说、古诗)(transformer xl for text generation of chinese)
zhangxuemiao/BiDAF-pytorch
Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.
zhangxuemiao/pytorch-seq2seq-1
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
zhangxuemiao/DrQA
Reading Wikipedia to Answer Open-Domain Questions
zhangxuemiao/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
zhangxuemiao/coding-interview-university
A complete computer science study plan to become a software engineer.
zhangxuemiao/DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
zhangxuemiao/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2
zhangxuemiao/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
zhangxuemiao/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
zhangxuemiao/RSPapers
Must-read papers on Recommender System.
zhangxuemiao/RecommenderSystems
zhangxuemiao/bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
zhangxuemiao/Rethinking-Image-Mixture-for-Unsupervised-Learning
Rethinking Image Mixture for Unsupervised Visual Representation Learning
zhangxuemiao/qa-hard-em
An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"
zhangxuemiao/fucking-algorithm
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
zhangxuemiao/MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
zhangxuemiao/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
zhangxuemiao/nltk_data
NLTK Data
zhangxuemiao/awesome-qa
😎 A curated list of the Question Answering (QA)
zhangxuemiao/WikiSQL
A large annotated semantic parsing corpus for developing natural language interfaces.
zhangxuemiao/BERT-for-Sequence-Labeling-and-Text-Classification
This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.