机器学习/深度学习

experiments Some research experiments I have done during the years. Most of the notes can be foun...

Git repo moved to GitLab: gitlab.com/conradsnicta/armadillo-code git clone https://gitlab.com/con...

UDA : Unsupervised Data Augmentation Unofficial PyTorch Implementation of Unsupervised Data Augme...

POP909 Dataset for Music Arrangement Generation This is the dataset repository for the paper: POP...

Awesome-Denoise There are three main factors to divide these papers into different catrgories to ...

d2l-torch 首先感谢《动手学深度学习》的原作者及贡献者为我们提供了一本极其优秀的书籍。如果您对框架没有特定偏好或需求，不妨尝试MXNet，一款极其优秀的深度学习框架。 原书地址：http...

Generative-Adversarial-Network-Tutorial Generative adversarial networks (GANs) are one of the hot...

LambdaNet LambdaNet is an artificial neural network library written in Haskell that abstracts net...

awesome-data-labeling A curated list of awesome data labeling tools Images labelImg - LabelImg is...

Machine Learning Collection Microsoft contributing libraries, tools, recipes, sample codes and wo...

目录： PyTorch学习教程、手册 PyTorch视频教程 NLP&PyTorch实战 CV&PyTorch实战 PyTorch论文推荐 Pytorch书籍推荐 PyTorch学习教程、手册 ...

deep-listening Deep learning experiments for audio classification A full write-up, including tech...

The PyTorch implementation of DB-CNN is released at https://github.com/zwx8981/DBCNN-PyTorch! Bli...

awesome_deep_learning_interpretability 深度学习近年来关于模型解释性的相关论文。 按引用次数排序可见引用排序 159篇论文pdf(有2篇需要上scihub找...

Recognizing Handwritten Digits using a Two-layer Perceptron This repository contains code corresp...

MovieLens Recommendation Systems This repo shows a set of Jupyter Notebooks demonstrating a varie...

Deep Learning Specialization Projects from the Deep Learning Specialization from deeplearning.ai ...

Theano 基于 Python，是最早的深度学习开源框架。 Theano 严格来说是一个擅长处理多维数组的 Python 库，十分适合与其它深度学习库结合起来进行数据探索，高效地解决多维数组的...

Deep Learning For Monaural Source Separation Demo Webpage: https://sites.google.com/site/deeplear...

Apache Mahout 是 Apache Software Foundation (ASF) 开发的一个全新的开源项目，其主要目标是创建一些可伸缩的机器学习算法，供开发人员在 Apache ...