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Search results for deep learning matrix
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matrix
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44 search results found
Numerical Linear Algebra
⭐
9,850
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Pycm
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1,413
Multi-class confusion matrix library in Python
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Mshadow
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1,036
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
Deepbench
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882
Benchmarking Deep Learning operations on different hardware
Tensor Sensor
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634
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Tensor
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326
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
Recommendation
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324
Recommendation System using ML and DL
Linformer Pytorch
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323
My take on a practical implementation of Linformer for Pytorch.
Ai Art
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298
PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
Block
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260
An intelligent block matrix library for numpy, PyTorch, and beyond.
Math_resources
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249
Bigdata18
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230
Transfer learning for time series classification
Simple_net
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183
A simple deep neural network implemented in C++,based with OpenCV Mat matrix class
Graph Representation Learning
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168
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Ai Matrix
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148
To make it easy to benchmark AI accelerators
Deep_matrix_factorization_models
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140
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
Kitabe
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127
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Care Gnn
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127
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Ai Terminology Page
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109
The English-Chinese paired terminologies in Artificial Intelligence Domain
Quant Notes
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101
Quantitative Interview Preparation Guide, updated version here ==>
Deep Semi Nmf
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80
Theano-based implementation of Deep Semi-NMF.
Tene
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71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Hamburger Pytorch
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70
Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
Deep Learning In Asset Pricing
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64
https://arxiv.org/abs/1805.01104
Rtorch
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63
PyTorch bindings for R
Dgi
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54
TensorFlow implementation of Deep Graph Infomax
Neodti
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54
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Alchemy
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53
CV DL
Cyber Matrix Ai
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53
Collection of cyber security and "AI" relevant topics
Personalized Recommend
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48
基于tensorflow的个性化电影推荐系统
Ai Projects
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45
AI项目(强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理)
Convnets As Gps
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36
Code for "Deep Convolutional Networks as shallow Gaussian Processes"
Object_detection_confusion_matrix
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36
Python class for calculating confusion matrix for object detection task
Mathematics_for_machine_learning
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32
Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
Convolution Flavors
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31
Implementation of convolution layer in different flavors
Recommendation Systems
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28
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matri
Stem
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28
Swift Tensor Extensions for Machine-learning
En Jp Ml Lexicon
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26
This is a English-Japanese lexicon for Machine Learning and Deep Learning terminology.
Clusternet
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23
Deep neural network framework for multiple GPUs
Fista Net
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22
A model-based deep learning network for inverse problem in imaging
Recommender Systems Paper
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21
Must-read Papers for Recommender Systems (RS)
Caffe Conf Matrix
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20
Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
Gedfn
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19
GEDFN: Graph-Embedded Deep Feedforward Network
Deficient Efficient
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17
Successfully training approximations to full-rank matrices for efficiency in deep learning.
3d Cnn Emotion Recognition
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15
Volumetric CNN for Emotion Recognition for iPhone face dataset
Keras Aquarium
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14
a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Confusion Matrix For Mask R Cnn
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14
Confusion matrix for Mask R-CNN (Matterport implementation)
Gne
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13
This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"
Deeppink
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13
DeepPINK: reproducible feature selection in deep neural networks
Kerasvggcifar10
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12
Keras VGG implementation for CIFAR-10 classification Tutorial
Heart Sounds Segmentation
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11
Heart sounds segmentation based on LSTM neural network and Fourier Synchrosqueezed Transform.
Recommendbyitemcf
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11
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
Convnets As Gps
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10
Code for "Deep Convolutional Networks as shallow Gaussian Processes"
Gcn Gru
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10
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Neural Matrix Completion
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10
Source code for the paper "Extendable Neural Matrix Completion"
Kumozu
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9
Deep learning and matrix factorization in C++
Movie Recommendation System
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9
Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning based recommendation systems
Deep_matrix_factorization
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8
Code for Implicit Regularization in Deep Matrix Factorization.
Device_matrix
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8
The device_matrix library is a lightweight, transparent, object-oriented and templated C++ library that encapsulates CUDA memory objects (i.e., tensors) and defines common operations on them.
Deep_matrix_factorization
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8
Keras Implementation of "Deep Matrix Factorization Models for Recommender Systems"
Mml Feature Learning
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8
Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks
Linear Algebra For Deeplearning
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7
Linear Algebra for Deep Learning
Drmime
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7
DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Neuralswift
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7
The simplest neural network library on Swift
Yolof
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6
📹 YOLO meets Optical Flow
Kerast
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6
Cifar-10 classification using CNN Keras Tutorial
Cifar 10_tutorial
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6
Kerasを用いたCIFAR-10チュートリアル
Discrete Matrix Factorization
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6
Source code for the paper "Learning Discrete Matrix Factorization Models"
Poketaipu
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6
Final Project for EECS 600, Deep Learning @CWRU
Confusion Matrix Stats
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5
🚀This library aims to facilitate the calculations of several metrics using a multi-dimensional confusion matrix. 📚 Provides a set of features, not only to obtain metrics such as accuracy, precision and f1Score, but also matrix normalization, cloning, and the number of predictions.
Dmflda
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5
A deep learning framework for predicting lncRNA–disease associations
Kbi
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5
Source code for all models from our IJCAI 2018 Paper "Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for Knowledge Base Inference"
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