Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

PyTorch Tutorials from my YouTube channel

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Audio Denoising with Deep Network Priors

🏥 Medical Text Mining and Information Extraction with spaCy

light reimplement of bert for keras

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Learn how to use PyTorch to solve some common NLP problems with deep learning.

An audio/acoustic activity detection and audio segmentation tool

Natural Language Processing Tutorial for Deep Learning Researchers

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, Ro…

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, inform…

Code & data accompanying the NAACL2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

Accompanying code for the Medium article

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

Voice Activity Detection (VAD) using deep learning. Supervised by Retune DSP.

Code Samples from Neural Networks for NLP

Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, and RoBERTa)

Accompanying code for our COLING 2018 paper "Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering"

😎 A curated list of the Question Answering (QA)

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

jsliang 的文档库. 里面包含了个人撰写的所有前端文章，例如 Vue、React,、ECharts、微信小程序等……

2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.