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Search results for deep learning kernel
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33 search results found
Tensorflow Internals
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2,664
It is open source ebook about TensorFlow kernel and implementation mechanism.
Gpflow
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1,783
Gaussian processes in TensorFlow
Returnn
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347
The RWTH extensible training framework for universal recurrent neural networks
Keras Gp
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219
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Jetson_easy
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207
🔩 Automatically script to setup and configure your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1, TK1] . This script run different modules to update, fix and patch the kernel, install ROS and other...
Kaggle_memo
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195
Cs224n 2019
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180
My completed implementation solutions for CS224N 2021 & 2019
Cca_zoo
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157
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
K Nrm
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157
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Cvessentials
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156
Tutorial Series (60 hour course): Essentials of computer vision
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Dgcnn
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136
Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
Nngp
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110
Deep neural network kernel for Gaussian process
Defect Detection Classifier
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70
Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset
Wheat
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68
Wheat Detection challenge on Kaggle
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Ml4chem
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64
ML4Chem: Machine Learning for Chemistry and Materials
Crowd_counting_from_scratch
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63
This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.
Assignment2 2017
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59
(Spring 2017) Assignment 2: GPU Executor
Mmd Gan
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57
Improving MMD-GAN training with repulsive loss function
Tsception
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50
PyTorch implementation of TSception
Pyprof2
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48
PyProf2: PyTorch Profiling tool
Deep Kernel Gp
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46
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
M Phate
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44
Multislice PHATE for tensor embeddings
Hexagdly
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41
Process hexagonally sampled data with PyTorch
Remokaggle
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40
Quickly setup SSH connection to Kaggle Kernel for Deep Learning. In order to use that sexy Tesla P100 for free (and without many restriction of Jupyter Notebook) :P
Gcngemm
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39
Optimized half precision gemm assembly kernels (deprecated due to ROCm)
Awesome Kaggle Kernels
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38
Compilation of good Kaggle Kernels.
Deep_gp_random_features
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31
Convolution Flavors
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31
Implementation of convolution layer in different flavors
Deep Learning Math Kernel Research
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28
Ssdkl
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28
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Rl Quadcopter
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25
Udacity Deep Learning Nano Degree Project : Deep Reinforcement Learning Based Quadcopter controller
Dk For Tst
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22
This is the code for the paper "Learning Deep Kernels for Non-Parametric Two-Sample Tests" (ICML2020).
Klcpd_code
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21
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Kervolution
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19
Kervolution implementation using TF2.0
Pytorch Convcnp
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18
A PyTorch Implementation of Convolutional Conditional Neural Process.
Awsdlgpu
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17
A description for setting up an Amazon EC2 GPU instance for Deep Learning.
Tsai Deepvision Eva4.0
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16
This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4
Aids Dpi
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16
AngelIDS Deep Packet Inspection Kernel Module By Angelic47 & Hwsasi
Traffic_signs_recognition_cnn
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16
Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)
Steganalysiscnn
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16
An Improved CNN Steganalysis Architecture Based on “Catalyst Kernels” and Transfer Learning
Ml Reading Group
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15
Information and organization of the STIMA Machine Learning Reading Group
Kernel_reg
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14
Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
Kernelneuraloptimaltransport
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14
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
Carnd Semantic Segmentation P2
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13
Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project
Bayesian Ntk
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13
Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
Nbd Glra
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13
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
Kernet
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12
Modular learning for deep classifiers
Google Landmark Recognition Retrieval 2019
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10
Silver and Bronze medal solutions to the Kaggle challenges on Google Landmark Dataset
Winograd_convolution
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9
a winograd based kernel for convolutions in deep learning framework
Openfacecpp
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9
Face recognition with deep neural networks c++
Learningmachinelearning
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9
Resources I am using to learn machine learning
Deepmkl
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7
Deep Multiple Kernel Learning by Span Bound
Machinelearningalgos
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7
Personal reimplementation of some ML algorithms for learning purposes
Grouped3dconvpytorch
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6
Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.
Machine Learning
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5
My Implementation of Machine Learning models
Engineered Riboregulator Ml
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5
Sequence-to-function deep learning frameworks for engineered riboregulators
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1-33 of 33 search results
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