Yprimo

doc2x-doc

doc2x docs

kmeans_kdtree

Efficient implementation of K-means clustering algorithm using kD-tree

Adlik

Adlik: Toolkit for Accelerating Deep Learning Inference

ZhihuSpiderMan

Python爬虫系列

ZhihuSpider

知乎问答爬取

ZhiHuSpider

两个关于知乎的爬虫，一个基于关键词搜索，爬取所有搜索的问题以及问题对应的答案和答案的所有评论；另外一个基于第一个爬虫获取的user_seeds,爬取用户相关信息

ZhihuSpider

可以根据关键字，爬取关键字话题下的问题及其回答和评论

zhihu

zhihu是一个知乎话题内容的爬虫，可以爬取知乎所有的话题相关的问答内容

ZhihuSpider

知乎分布式爬虫（Scrapy、Redis）

ZhiHuSpider

自写爬虫爬取知乎问题及回答

zhihuSpider

本爬虫用于爬取知乎网站问题、回答的相关字段信息，问题的标题、内容、发布时间、话题、回答数量、评论数、点击数、关注数等字段，及对该问题回答的内容，作者、点赞数、评论数、回答时间等等字段信息。可用于对社会话题、热点进行数据分析。

NLP-Beginner

Exercises of Natural Language Process.

MNBVC

MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

si-gevd

joint_CNN_LSTM_AAD

Pytorch/Python implementation of the joint CNN-LSTM deep learning model

SSF-CNN

This repository contains the python scripts developed as a part of the work presented in the paper "Low-latency auditory spatial attention detection based on spectro-spatial features from EEG"

channelselect

Code implementing channel-selection based on utility metric in a least-squares (LS) problem

TCN

Sequence modeling benchmarks and temporal convolutional networks

pytorch-beginner

pytorch tutorial for beginners

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

padertorch

A collection of common functionality to simplify the design, training and evaluation of machine learning models based on pytorch with an emphasis on speech processing.

dual-path-RNNs-DPRNNs-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

Conv-TasNet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

Dual-Path-RNN-Pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

DaNet-Tensorflow

Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"

DNN-based_source_separation

A PyTorch implementation of DNN-based source separation.

DANet

tensorflow based implementation of Deep Attractor Network for Speech Separation