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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

2019-icml-comic

COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML’19)

absentkernel

matlab code for "Multiple Kernel k-means with Incomplete Kernels"

adaptive-graph-guided-embedding-for-multi-label-annotation

AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.

agc-master

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

attentionzsl

Codes for Paper "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning"

autokeras

Accessible AutoML for deep learning.

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-neurips2019-nips2019

人工智能和机器学习领域的国际顶级会议NeurIPS论文收集

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

clustering-with-fairness-constraints

Clustering with fairness constraints- A flexible and scalable approach

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cross-modal

cvpr17_gaze-embeddings-for-zero-shot-image-classification

Gaze Embeddings for Zero-Shot Image Classification CVPR17

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

da

Domain Adaptation Papers and Code

dan

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deep-cross-model-hashing-on-mscoco

Deep Hashing Algorithm for Cross-modal Images and Text Retrieval

deep-learning-1

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deep-subspace-clustering-networks

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deep-transfer-learning-with-joint-adaptation-networks-icml17

Transfer Learning Library

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

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[email protected] 版权所有，违权必究 Tan 2018.06